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You searched for subject:(Evolutionary clustering). Showing records 1 – 30 of 42 total matches.

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NSYSU

1. Liao, Yu-Hsun. A Quantum-inspired Evolutionary Clustering Algorithm.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

 In recent years, a lot of evolutionary computation methods have been proposed to solve the combinatorial optimization problem based on the concepts of quantum mechanics.… (more)

Subjects/Keywords: clustering; quantum-inspired evolutionary algorithm; Evolutionary algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Liao, Y. (2014). A Quantum-inspired Evolutionary Clustering Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liao, Yu-Hsun. “A Quantum-inspired Evolutionary Clustering Algorithm.” 2014. Thesis, NSYSU. Accessed April 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liao, Yu-Hsun. “A Quantum-inspired Evolutionary Clustering Algorithm.” 2014. Web. 19 Apr 2019.

Vancouver:

Liao Y. A Quantum-inspired Evolutionary Clustering Algorithm. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Apr 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liao Y. A Quantum-inspired Evolutionary Clustering Algorithm. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0317114-105921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

2. Sah, Navdha. Clustering Using Differential Evolution.

Degree: MS, Computer Science, 2016, Penn State University

 In the past few decades, clustering or cluster analysis has emerged as an essential tool in several fields to help find conceptually meaningful groups of… (more)

Subjects/Keywords: clustering; differential evolution; evolutionary algorithms; genetic algorithm

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APA (6th Edition):

Sah, N. (2016). Clustering Using Differential Evolution. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12405nxs328

Chicago Manual of Style (16th Edition):

Sah, Navdha. “Clustering Using Differential Evolution.” 2016. Masters Thesis, Penn State University. Accessed April 19, 2019. https://etda.libraries.psu.edu/catalog/12405nxs328.

MLA Handbook (7th Edition):

Sah, Navdha. “Clustering Using Differential Evolution.” 2016. Web. 19 Apr 2019.

Vancouver:

Sah N. Clustering Using Differential Evolution. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Apr 19]. Available from: https://etda.libraries.psu.edu/catalog/12405nxs328.

Council of Science Editors:

Sah N. Clustering Using Differential Evolution. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/12405nxs328


Western Kentucky University

3. Trimboli, Anthony B. An Improved Regional Honey Production Model for the United States.

Degree: MSin Agriculture, Department of Agriculture, 2017, Western Kentucky University

  Currently three systems are used to categorize honey production regions in the United States, one from the United States Department of Agriculture, one from… (more)

Subjects/Keywords: Clustering; Ecoregion; Ecology and Evolutionary Biology; Entomology

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APA (6th Edition):

Trimboli, A. B. (2017). An Improved Regional Honey Production Model for the United States. (Masters Thesis). Western Kentucky University. Retrieved from https://digitalcommons.wku.edu/theses/1961

Chicago Manual of Style (16th Edition):

Trimboli, Anthony B. “An Improved Regional Honey Production Model for the United States.” 2017. Masters Thesis, Western Kentucky University. Accessed April 19, 2019. https://digitalcommons.wku.edu/theses/1961.

MLA Handbook (7th Edition):

Trimboli, Anthony B. “An Improved Regional Honey Production Model for the United States.” 2017. Web. 19 Apr 2019.

Vancouver:

Trimboli AB. An Improved Regional Honey Production Model for the United States. [Internet] [Masters thesis]. Western Kentucky University; 2017. [cited 2019 Apr 19]. Available from: https://digitalcommons.wku.edu/theses/1961.

Council of Science Editors:

Trimboli AB. An Improved Regional Honey Production Model for the United States. [Masters Thesis]. Western Kentucky University; 2017. Available from: https://digitalcommons.wku.edu/theses/1961


NSYSU

4. CHEN, YAN-RONG. An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 Many metaheuristic algorithms have been presented to find an approximate solution for the data clustering problem in recent years. To understand the capability of quantum-based… (more)

Subjects/Keywords: Metaheuristic Algorithm; Clustering Problem; Quantum-Inspired Evolutionary Algorithm; Data Clustering; Evolutionary Computing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

CHEN, Y. (2018). An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

CHEN, YAN-RONG. “An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm.” 2018. Thesis, NSYSU. Accessed April 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

CHEN, YAN-RONG. “An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm.” 2018. Web. 19 Apr 2019.

Vancouver:

CHEN Y. An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm. [Internet] [Thesis]. NSYSU; 2018. [cited 2019 Apr 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

CHEN Y. An Improved Quantum-Inspired Evolutionary Data Clustering Algorithm. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722118-195736

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

5. Tantipathananandh, Chayant. Detecting and Tracking Communities in Social Networks.

Degree: 2013, University of Illinois – Chicago

 Community detection is an important task in social network analysis. Social interactions exist within some social context and communities are a fundamental form of social… (more)

Subjects/Keywords: algorithm; evolutionary clustering; clustering; dynamic community; dynamic network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Tantipathananandh, C. (2013). Detecting and Tracking Communities in Social Networks. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/10138

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tantipathananandh, Chayant. “Detecting and Tracking Communities in Social Networks.” 2013. Thesis, University of Illinois – Chicago. Accessed April 19, 2019. http://hdl.handle.net/10027/10138.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tantipathananandh, Chayant. “Detecting and Tracking Communities in Social Networks.” 2013. Web. 19 Apr 2019.

Vancouver:

Tantipathananandh C. Detecting and Tracking Communities in Social Networks. [Internet] [Thesis]. University of Illinois – Chicago; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10027/10138.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tantipathananandh C. Detecting and Tracking Communities in Social Networks. [Thesis]. University of Illinois – Chicago; 2013. Available from: http://hdl.handle.net/10027/10138

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Victoria University of Wellington

6. Wahid, Abdul. Improving Clustering Methods By Exploiting Richness Of Text Data.

Degree: 2016, Victoria University of Wellington

Clustering is an unsupervised machine learning technique, which involves discovering different clusters (groups) of similar objects in unlabeled data and is generally considered to be… (more)

Subjects/Keywords: Text analytics; Text clustering; Multiview text clustering; Search result clustering; Clustering ensemble; Multi-Objective Evolutionary Clustering; Clustering; Text mining; Text clustering methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wahid, A. (2016). Improving Clustering Methods By Exploiting Richness Of Text Data. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/5336

Chicago Manual of Style (16th Edition):

Wahid, Abdul. “Improving Clustering Methods By Exploiting Richness Of Text Data.” 2016. Doctoral Dissertation, Victoria University of Wellington. Accessed April 19, 2019. http://hdl.handle.net/10063/5336.

MLA Handbook (7th Edition):

Wahid, Abdul. “Improving Clustering Methods By Exploiting Richness Of Text Data.” 2016. Web. 19 Apr 2019.

Vancouver:

Wahid A. Improving Clustering Methods By Exploiting Richness Of Text Data. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10063/5336.

Council of Science Editors:

Wahid A. Improving Clustering Methods By Exploiting Richness Of Text Data. [Doctoral Dissertation]. Victoria University of Wellington; 2016. Available from: http://hdl.handle.net/10063/5336


Rochester Institute of Technology

7. Salunke, Amit. Evolutionary star-structured heterogeneous data co-clustering.

Degree: Computer Science (GCCIS), 2012, Rochester Institute of Technology

 A star-structured interrelationship, which is a more common type in real world data, has a central object connected to the other types of objects. One… (more)

Subjects/Keywords: Clustering; Co-clustering; Evolutionary; Heterogeneous data; Non-negative matrix factorization; Star-structured

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Salunke, A. (2012). Evolutionary star-structured heterogeneous data co-clustering. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5522

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Salunke, Amit. “Evolutionary star-structured heterogeneous data co-clustering.” 2012. Thesis, Rochester Institute of Technology. Accessed April 19, 2019. https://scholarworks.rit.edu/theses/5522.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Salunke, Amit. “Evolutionary star-structured heterogeneous data co-clustering.” 2012. Web. 19 Apr 2019.

Vancouver:

Salunke A. Evolutionary star-structured heterogeneous data co-clustering. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2019 Apr 19]. Available from: https://scholarworks.rit.edu/theses/5522.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Salunke A. Evolutionary star-structured heterogeneous data co-clustering. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/5522

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Louisville

8. Elgazzar, Heba Mohamed. Network science algorithms for mobile networks.

Degree: PhD, 2018, University of Louisville

  Network Science is one of the important and emerging fields in computer science and engineering that focuses on the study and analysis of different… (more)

Subjects/Keywords: network science; mobile networks; social networks; evolutionary clustering; evolutionary centrality; Computer Engineering; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Elgazzar, H. M. (2018). Network science algorithms for mobile networks. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2997 ; https://ir.library.louisville.edu/etd/2997

Chicago Manual of Style (16th Edition):

Elgazzar, Heba Mohamed. “Network science algorithms for mobile networks.” 2018. Doctoral Dissertation, University of Louisville. Accessed April 19, 2019. 10.18297/etd/2997 ; https://ir.library.louisville.edu/etd/2997.

MLA Handbook (7th Edition):

Elgazzar, Heba Mohamed. “Network science algorithms for mobile networks.” 2018. Web. 19 Apr 2019.

Vancouver:

Elgazzar HM. Network science algorithms for mobile networks. [Internet] [Doctoral dissertation]. University of Louisville; 2018. [cited 2019 Apr 19]. Available from: 10.18297/etd/2997 ; https://ir.library.louisville.edu/etd/2997.

Council of Science Editors:

Elgazzar HM. Network science algorithms for mobile networks. [Doctoral Dissertation]. University of Louisville; 2018. Available from: 10.18297/etd/2997 ; https://ir.library.louisville.edu/etd/2997


NSYSU

9. Hsieh, Cheng-Han. Parallel Black Hole Clustering Based on MapReduce.

Degree: Master, Computer Science and Engineering, 2016, NSYSU

 One of the key reasons that traditional clustering methods are inefficient for analyzing large-scale datasets is because most of them are designed for a centralized… (more)

Subjects/Keywords: black hole algorithm; Hadoop; MapReduce; clustering; Evolutionary computation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hsieh, C. (2016). Parallel Black Hole Clustering Based on MapReduce. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163417

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hsieh, Cheng-Han. “Parallel Black Hole Clustering Based on MapReduce.” 2016. Thesis, NSYSU. Accessed April 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163417.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hsieh, Cheng-Han. “Parallel Black Hole Clustering Based on MapReduce.” 2016. Web. 19 Apr 2019.

Vancouver:

Hsieh C. Parallel Black Hole Clustering Based on MapReduce. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Apr 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163417.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hsieh C. Parallel Black Hole Clustering Based on MapReduce. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0115116-163417

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

10. Chang, Wei-lun. An Improved Hyper-Heuristic Clustering Algorithm for Wireless Sensor Networks.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 Wireless sensor network (WSN) has been widely used in surveillance and monitoring nowadays. As such, a lot of applications and services are built on it… (more)

Subjects/Keywords: LEACH; Clustering; Evolutionary Computation; Hyper-heuristic Algorithm; Lifetime; Wireless Sensor Network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chang, W. (2017). An Improved Hyper-Heuristic Clustering Algorithm for Wireless Sensor Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0512117-205105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang, Wei-lun. “An Improved Hyper-Heuristic Clustering Algorithm for Wireless Sensor Networks.” 2017. Thesis, NSYSU. Accessed April 19, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0512117-205105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang, Wei-lun. “An Improved Hyper-Heuristic Clustering Algorithm for Wireless Sensor Networks.” 2017. Web. 19 Apr 2019.

Vancouver:

Chang W. An Improved Hyper-Heuristic Clustering Algorithm for Wireless Sensor Networks. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 Apr 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0512117-205105.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang W. An Improved Hyper-Heuristic Clustering Algorithm for Wireless Sensor Networks. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0512117-205105

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

11. Fu, Xinye. Building Evolutionary Clustering Algorithms on Spark.

Degree: Information and Communication Technology (ICT), 2017, KTH

Evolutionary clustering (EC) is a kind of clustering algorithm to handle the noise of time-evolved data. It can track the truth drift of clustering(more)

Subjects/Keywords: Evolutionary clustering; Spark; Survey; Data-intensive computing; Evolutionär clustering; Spark; Undersökning; Datintensiv databehandling; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fu, X. (2017). Building Evolutionary Clustering Algorithms on Spark. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fu, Xinye. “Building Evolutionary Clustering Algorithms on Spark.” 2017. Thesis, KTH. Accessed April 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fu, Xinye. “Building Evolutionary Clustering Algorithms on Spark.” 2017. Web. 19 Apr 2019.

Vancouver:

Fu X. Building Evolutionary Clustering Algorithms on Spark. [Internet] [Thesis]. KTH; 2017. [cited 2019 Apr 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219608.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fu X. Building Evolutionary Clustering Algorithms on Spark. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-219608

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Wayne State University

12. Wang, Lijun. Complex data analytics via sparse, low-rank matrix approximation.

Degree: PhD, Computer Science, 2012, Wayne State University

  Today, digital data is accumulated at a faster than ever speed in science, engineering, biomedicine, and real-world sensing. Data mining provides us an effective… (more)

Subjects/Keywords: abnormal event detection, Big data analytics, clustering, evolutionary clustering, large-scale data analysis, low-rank matrix approximation; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, L. (2012). Complex data analytics via sparse, low-rank matrix approximation. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/583

Chicago Manual of Style (16th Edition):

Wang, Lijun. “Complex data analytics via sparse, low-rank matrix approximation.” 2012. Doctoral Dissertation, Wayne State University. Accessed April 19, 2019. https://digitalcommons.wayne.edu/oa_dissertations/583.

MLA Handbook (7th Edition):

Wang, Lijun. “Complex data analytics via sparse, low-rank matrix approximation.” 2012. Web. 19 Apr 2019.

Vancouver:

Wang L. Complex data analytics via sparse, low-rank matrix approximation. [Internet] [Doctoral dissertation]. Wayne State University; 2012. [cited 2019 Apr 19]. Available from: https://digitalcommons.wayne.edu/oa_dissertations/583.

Council of Science Editors:

Wang L. Complex data analytics via sparse, low-rank matrix approximation. [Doctoral Dissertation]. Wayne State University; 2012. Available from: https://digitalcommons.wayne.edu/oa_dissertations/583


University of Texas – Austin

13. -3113-0409. Outcome prediction and structure discovery in healthcare data.

Degree: Electrical and Computer Engineering, 2016, University of Texas – Austin

 Growing use of electronic medical records, advances in data mining and machine learning, and the continually increasing cost of healthcare in the United States drive… (more)

Subjects/Keywords: Healthcare analytics; Mortality prediction; Optimizable risk score; Affinity propagation; Semi-supervised clustering; Noisy pairwise constraints; Evolutionary clustering; Temporal data; Medication adherence

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-3113-0409. (2016). Outcome prediction and structure discovery in healthcare data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/43726

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

-3113-0409. “Outcome prediction and structure discovery in healthcare data.” 2016. Thesis, University of Texas – Austin. Accessed April 19, 2019. http://hdl.handle.net/2152/43726.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

-3113-0409. “Outcome prediction and structure discovery in healthcare data.” 2016. Web. 19 Apr 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3113-0409. Outcome prediction and structure discovery in healthcare data. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2152/43726.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

-3113-0409. Outcome prediction and structure discovery in healthcare data. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/43726

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


Queensland University of Technology

14. Mohd Yusoh, Zeratul Izzah. Composite SaaS resource management in cloud computing using evolutionary computation.

Degree: 2013, Queensland University of Technology

 Cloud computing is an emerging computing paradigm in which IT resources are provided over the Internet as a service to users. One such service offered… (more)

Subjects/Keywords: software as a service; cloud computing; evolutionary computation; genetic algorithm; cooperative co-evolutionary algorithm; grouping genetic algorithm; optimisation; placement; clustering; scalability

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mohd Yusoh, Z. I. (2013). Composite SaaS resource management in cloud computing using evolutionary computation. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/63280/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mohd Yusoh, Zeratul Izzah. “Composite SaaS resource management in cloud computing using evolutionary computation.” 2013. Thesis, Queensland University of Technology. Accessed April 19, 2019. https://eprints.qut.edu.au/63280/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mohd Yusoh, Zeratul Izzah. “Composite SaaS resource management in cloud computing using evolutionary computation.” 2013. Web. 19 Apr 2019.

Vancouver:

Mohd Yusoh ZI. Composite SaaS resource management in cloud computing using evolutionary computation. [Internet] [Thesis]. Queensland University of Technology; 2013. [cited 2019 Apr 19]. Available from: https://eprints.qut.edu.au/63280/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mohd Yusoh ZI. Composite SaaS resource management in cloud computing using evolutionary computation. [Thesis]. Queensland University of Technology; 2013. Available from: https://eprints.qut.edu.au/63280/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Silva, Augusto Almeida da. Heurística evolutiva para problemas de programação em no-wait flowshop com tempos de setup.

Degree: Mestrado, Processos e Gestão de Operações, 2012, University of São Paulo

Este trabalho aborda o problema de no-wait flowshop em um ambiente com custos de setup apartados dos tempos de processamento, são investigados os casos de… (more)

Subjects/Keywords: Dependent setup; Evolutionary clustering search; Evolutionary clustering search; Independent setup; Makespan; Makespan; No-wait flowshop; No-wait flowshop; Setup dependente; Setup independente; Total flowtime; Total flowtime

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APA (6th Edition):

Silva, A. A. d. (2012). Heurística evolutiva para problemas de programação em no-wait flowshop com tempos de setup. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18156/tde-15012013-101434/ ;

Chicago Manual of Style (16th Edition):

Silva, Augusto Almeida da. “Heurística evolutiva para problemas de programação em no-wait flowshop com tempos de setup.” 2012. Masters Thesis, University of São Paulo. Accessed April 19, 2019. http://www.teses.usp.br/teses/disponiveis/18/18156/tde-15012013-101434/ ;.

MLA Handbook (7th Edition):

Silva, Augusto Almeida da. “Heurística evolutiva para problemas de programação em no-wait flowshop com tempos de setup.” 2012. Web. 19 Apr 2019.

Vancouver:

Silva AAd. Heurística evolutiva para problemas de programação em no-wait flowshop com tempos de setup. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2019 Apr 19]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18156/tde-15012013-101434/ ;.

Council of Science Editors:

Silva AAd. Heurística evolutiva para problemas de programação em no-wait flowshop com tempos de setup. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/18/18156/tde-15012013-101434/ ;

16. Covões, Thiago Ferreira. Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2014, University of São Paulo

Nesta tese, são estudados algoritmos para agrupamento de dados, com particular ênfase em Agrupamento de Dados com Restrições, no qual, além dos objetos a serem… (more)

Subjects/Keywords: Agrupamento de dados; Algoritmos evolutivos; Aprendizado de máquina; Evolutionary algorithms; Machine learning; Semi-supervised clustering

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APA (6th Edition):

Covões, T. F. (2014). Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062015-150217/ ;

Chicago Manual of Style (16th Edition):

Covões, Thiago Ferreira. “Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições.” 2014. Doctoral Dissertation, University of São Paulo. Accessed April 19, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062015-150217/ ;.

MLA Handbook (7th Edition):

Covões, Thiago Ferreira. “Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições.” 2014. Web. 19 Apr 2019.

Vancouver:

Covões TF. Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições. [Internet] [Doctoral dissertation]. University of São Paulo; 2014. [cited 2019 Apr 19]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062015-150217/ ;.

Council of Science Editors:

Covões TF. Algoritmos evolutivos para modelos de mistura de gaussianas em problemas com e sem restrições. [Doctoral Dissertation]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24062015-150217/ ;

17. Silva, Jonathan de Andrade. Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos.

Degree: PhD, Ciências de Computação e Matemática Computacional, 2015, University of São Paulo

Técnicas de agrupamento de dados usualmente assumem que o conjunto de dados é de tamanho fixo e pode ser alocado na memória. Neste contexto, um… (more)

Subjects/Keywords: Agrupamento de dados; Algoritmos evolutivos; Clustering; Data stream; Evolutionary algorithms; Fluxo contínuo de dados

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APA (6th Edition):

Silva, J. d. A. (2015). Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10082015-110127/ ;

Chicago Manual of Style (16th Edition):

Silva, Jonathan de Andrade. “Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos.” 2015. Doctoral Dissertation, University of São Paulo. Accessed April 19, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10082015-110127/ ;.

MLA Handbook (7th Edition):

Silva, Jonathan de Andrade. “Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos.” 2015. Web. 19 Apr 2019.

Vancouver:

Silva JdA. Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos. [Internet] [Doctoral dissertation]. University of São Paulo; 2015. [cited 2019 Apr 19]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10082015-110127/ ;.

Council of Science Editors:

Silva JdA. Agrupamento de dados em fluxos contínuos com estimativa automática do número de grupos. [Doctoral Dissertation]. University of São Paulo; 2015. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10082015-110127/ ;


De Montfort University

18. Al-Obaidi, Mohanad. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.

Degree: PhD, 2010, De Montfort University

 Although traditionally Wireless Sensor Network (WSNs) have been regarded as static sensor arrays used mainly for environmental monitoring, recently, its applications have undergone a paradigm… (more)

Subjects/Keywords: 600; genetic algorithms; clustering; evolutionary computation; sensor networks; swarm intelligence; energy optimization; particle swarm optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Al-Obaidi, M. (2010). ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/5187

Chicago Manual of Style (16th Edition):

Al-Obaidi, Mohanad. “ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.” 2010. Doctoral Dissertation, De Montfort University. Accessed April 19, 2019. http://hdl.handle.net/2086/5187.

MLA Handbook (7th Edition):

Al-Obaidi, Mohanad. “ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.” 2010. Web. 19 Apr 2019.

Vancouver:

Al-Obaidi M. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. [Internet] [Doctoral dissertation]. De Montfort University; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2086/5187.

Council of Science Editors:

Al-Obaidi M. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. [Doctoral Dissertation]. De Montfort University; 2010. Available from: http://hdl.handle.net/2086/5187

19. Andhale, Pankaj. Semi-supervised heterogeneous evolutionary co-clustering.

Degree: Computer Science (GCCIS), 2012, Rochester Institute of Technology

 One of the challenges of the machine learning problem is the absence of sufficient number of labeled instances or training instances. At the same time… (more)

Subjects/Keywords: Clustering; Co-clustering; Data mining; Evolutionary; Hetrogeneous data; Semi-supervised

…background and related work. The proposed Semi-supervised Heterogeneous Evolutionary Co-clustering… …supervised learning, evolutionary co-clustering, heterogeneous coclustering using non-negative… …modality selection. 2.2 Evolutionary Co-clustering Co-clustering on evolutionary data has been… …in the data at each time step. Evolutionary clustering approach is different from… …propose the solution to the evolutionary hierarchical and the K-means clustering algorithms… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Andhale, P. (2012). Semi-supervised heterogeneous evolutionary co-clustering. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/4767

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Andhale, Pankaj. “Semi-supervised heterogeneous evolutionary co-clustering.” 2012. Thesis, Rochester Institute of Technology. Accessed April 19, 2019. https://scholarworks.rit.edu/theses/4767.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Andhale, Pankaj. “Semi-supervised heterogeneous evolutionary co-clustering.” 2012. Web. 19 Apr 2019.

Vancouver:

Andhale P. Semi-supervised heterogeneous evolutionary co-clustering. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2019 Apr 19]. Available from: https://scholarworks.rit.edu/theses/4767.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Andhale P. Semi-supervised heterogeneous evolutionary co-clustering. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/4767

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Vahdat, Ali R. Symbiotic Evolutionary Subspace Clustering (S-ESC).

Degree: PhD, Faculty of Computer Science, 2013, Dalhousie University

 Subspace clustering identifies the attribute support for each cluster as well as identifying the location and number of clusters. In the most general case, attributes… (more)

Subjects/Keywords: Subspace clustering; Evolutionary multi-objective optimization; Symbiosis

…proposed algorithm, Symbiotic Evolutionary Subspace Clustering (S-ESC) borrows from… …Clustering Solution EC Evolutionary Computation EM Expectation Maximization EMO Evolutionary… …Multi-objective Optimization F-ESC Flat Evolutionary Subspace Clustering GA Genetic… …Symbiotic Evolutionary Subspace Clustering SLM Single-Level Mutation xiii Acknowledgements I… …been applied to various forms of the clustering problem [47]. Evolutionary… 

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APA (6th Edition):

Vahdat, A. R. (2013). Symbiotic Evolutionary Subspace Clustering (S-ESC). (Doctoral Dissertation). Dalhousie University. Retrieved from http://hdl.handle.net/10222/40629

Chicago Manual of Style (16th Edition):

Vahdat, Ali R. “Symbiotic Evolutionary Subspace Clustering (S-ESC).” 2013. Doctoral Dissertation, Dalhousie University. Accessed April 19, 2019. http://hdl.handle.net/10222/40629.

MLA Handbook (7th Edition):

Vahdat, Ali R. “Symbiotic Evolutionary Subspace Clustering (S-ESC).” 2013. Web. 19 Apr 2019.

Vancouver:

Vahdat AR. Symbiotic Evolutionary Subspace Clustering (S-ESC). [Internet] [Doctoral dissertation]. Dalhousie University; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10222/40629.

Council of Science Editors:

Vahdat AR. Symbiotic Evolutionary Subspace Clustering (S-ESC). [Doctoral Dissertation]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/40629


Universiteit Utrecht

21. Korenberg, S.W. Stochastic modelling of evolutionary processes.

Degree: 2016, Universiteit Utrecht

Evolutionary models are applied in various branches of science. The notions of births, deaths and mutations in a population of individuals can be interpreted in… (more)

Subjects/Keywords: evolutionary modelling; multi-scale modelling; birth-death processes; births; deaths; mutation; 1-in-3-SAT; clustering

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APA (6th Edition):

Korenberg, S. W. (2016). Stochastic modelling of evolutionary processes. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/339024

Chicago Manual of Style (16th Edition):

Korenberg, S W. “Stochastic modelling of evolutionary processes.” 2016. Masters Thesis, Universiteit Utrecht. Accessed April 19, 2019. http://dspace.library.uu.nl:8080/handle/1874/339024.

MLA Handbook (7th Edition):

Korenberg, S W. “Stochastic modelling of evolutionary processes.” 2016. Web. 19 Apr 2019.

Vancouver:

Korenberg SW. Stochastic modelling of evolutionary processes. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2019 Apr 19]. Available from: http://dspace.library.uu.nl:8080/handle/1874/339024.

Council of Science Editors:

Korenberg SW. Stochastic modelling of evolutionary processes. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/339024

22. Οικονομάκης, Εμμανουήλ Κ. Εξόρυξη γνώσης από δεδομένα.

Degree: 2009, University of Patras

Στη συγκεκριμένη διπλωματική εργασία αναλύεται το πρόβλημα του εντοπισμού ομάδων σε σύνολα δεδομένων (ομαδοποίηση δεδομένων). Δίνεται μια σύντομη ανασκόπηση των μεθόδων που χρησιμοποιούνται σήμερα στην… (more)

Subjects/Keywords: Εξόρυξη γνώσης; Υπολογιστική νοημοσύνη; Ομαδοποίηση δεδομένων; Εξελικτικοί αλγόριθμοι; 004.35; Data mining; Computational intelligence; Data clustering; Evolutionary algorithms

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APA (6th Edition):

Οικονομάκης, . . (2009). Εξόρυξη γνώσης από δεδομένα. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/2120

Chicago Manual of Style (16th Edition):

Οικονομάκης, Εμμανουήλ Κ. “Εξόρυξη γνώσης από δεδομένα.” 2009. Masters Thesis, University of Patras. Accessed April 19, 2019. http://nemertes.lis.upatras.gr/jspui/handle/10889/2120.

MLA Handbook (7th Edition):

Οικονομάκης, Εμμανουήλ Κ. “Εξόρυξη γνώσης από δεδομένα.” 2009. Web. 19 Apr 2019.

Vancouver:

Οικονομάκης . Εξόρυξη γνώσης από δεδομένα. [Internet] [Masters thesis]. University of Patras; 2009. [cited 2019 Apr 19]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2120.

Council of Science Editors:

Οικονομάκης . Εξόρυξη γνώσης από δεδομένα. [Masters Thesis]. University of Patras; 2009. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/2120


University of the Western Cape

23. Agbele, Kehinde Kayode. Context-awareness for adaptive information retrieval systems .

Degree: 2014, University of the Western Cape

 This research study investigates optimization of IRS to individual information needs in order of relevance. The research addressed development of algorithms that optimize the ranking… (more)

Subjects/Keywords: Information retrieval (IR); Context awareness; Interactive reinforcement learning (IRL); Relevance; Parameters optimization; Performance measures; Contextual information; Personalization; Clustering; Evolutionary algorithm

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APA (6th Edition):

Agbele, K. K. (2014). Context-awareness for adaptive information retrieval systems . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/3845

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Agbele, Kehinde Kayode. “Context-awareness for adaptive information retrieval systems .” 2014. Thesis, University of the Western Cape. Accessed April 19, 2019. http://hdl.handle.net/11394/3845.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Agbele, Kehinde Kayode. “Context-awareness for adaptive information retrieval systems .” 2014. Web. 19 Apr 2019.

Vancouver:

Agbele KK. Context-awareness for adaptive information retrieval systems . [Internet] [Thesis]. University of the Western Cape; 2014. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/11394/3845.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Agbele KK. Context-awareness for adaptive information retrieval systems . [Thesis]. University of the Western Cape; 2014. Available from: http://hdl.handle.net/11394/3845

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Michigan

24. Rocha, Rafael. From Trait Patterns to Species Lifetimes: Effects of Niche Differentiation on Coexistence and Community Structure.

Degree: PhD, Ecology and Evolutionary Biology, 2016, University of Michigan

 One of the most enduring questions in ecology is what accounts for coexistence among trophically similar organisms. Niche differentiation is one answer, but so is… (more)

Subjects/Keywords: Niche differentiation; Community structure; Trait patterns; Species clustering; Local persistence times; Neutral theory; Ecology and Evolutionary Biology; Science

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APA (6th Edition):

Rocha, R. (2016). From Trait Patterns to Species Lifetimes: Effects of Niche Differentiation on Coexistence and Community Structure. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135771

Chicago Manual of Style (16th Edition):

Rocha, Rafael. “From Trait Patterns to Species Lifetimes: Effects of Niche Differentiation on Coexistence and Community Structure.” 2016. Doctoral Dissertation, University of Michigan. Accessed April 19, 2019. http://hdl.handle.net/2027.42/135771.

MLA Handbook (7th Edition):

Rocha, Rafael. “From Trait Patterns to Species Lifetimes: Effects of Niche Differentiation on Coexistence and Community Structure.” 2016. Web. 19 Apr 2019.

Vancouver:

Rocha R. From Trait Patterns to Species Lifetimes: Effects of Niche Differentiation on Coexistence and Community Structure. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2027.42/135771.

Council of Science Editors:

Rocha R. From Trait Patterns to Species Lifetimes: Effects of Niche Differentiation on Coexistence and Community Structure. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135771

25. Jung, Matthias. Surface reconstruction with diversity-preserving multi-objective differential evolution.

Degree: 2010, Technische Universität Dortmund

Subjects/Keywords: Algorithms; Clustering; Differential evolution; Diversity; Multi-objective evolutionary; Surface reconstruction; 004

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APA (6th Edition):

Jung, M. (2010). Surface reconstruction with diversity-preserving multi-objective differential evolution. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/27212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jung, Matthias. “Surface reconstruction with diversity-preserving multi-objective differential evolution.” 2010. Thesis, Technische Universität Dortmund. Accessed April 19, 2019. http://hdl.handle.net/2003/27212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jung, Matthias. “Surface reconstruction with diversity-preserving multi-objective differential evolution.” 2010. Web. 19 Apr 2019.

Vancouver:

Jung M. Surface reconstruction with diversity-preserving multi-objective differential evolution. [Internet] [Thesis]. Technische Universität Dortmund; 2010. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/2003/27212.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jung M. Surface reconstruction with diversity-preserving multi-objective differential evolution. [Thesis]. Technische Universität Dortmund; 2010. Available from: http://hdl.handle.net/2003/27212

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Horta, Danilo. Abordagens evolutivas para agrupamento relacional de dados.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2010, University of São Paulo

O agrupamento de dados é uma técnica fundamental em aplicações de diversos campos do mercado e da ciência, como, por exemplo, no comércio, na biologia,… (more)

Subjects/Keywords: Abordagens evolutivas; Agrupamento de dados relacionais; Estimação do número de grupos; Estimation of the number of clusters; Evolutionary approaches; Relational data clustering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Horta, D. (2010). Abordagens evolutivas para agrupamento relacional de dados. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08042010-150736/ ;

Chicago Manual of Style (16th Edition):

Horta, Danilo. “Abordagens evolutivas para agrupamento relacional de dados.” 2010. Masters Thesis, University of São Paulo. Accessed April 19, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08042010-150736/ ;.

MLA Handbook (7th Edition):

Horta, Danilo. “Abordagens evolutivas para agrupamento relacional de dados.” 2010. Web. 19 Apr 2019.

Vancouver:

Horta D. Abordagens evolutivas para agrupamento relacional de dados. [Internet] [Masters thesis]. University of São Paulo; 2010. [cited 2019 Apr 19]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08042010-150736/ ;.

Council of Science Editors:

Horta D. Abordagens evolutivas para agrupamento relacional de dados. [Masters Thesis]. University of São Paulo; 2010. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-08042010-150736/ ;

27. Παυλίδης, Νίκος. Υπολογιστική νοημοσύνη στην οικονομία και τη θεωρία παιγνίων.

Degree: 2008, University of Patras; Πανεπιστήμιο Πατρών

The thesis investigates Computational Intelligence methods in Economics and Finance. The first part of the thesis is devoted to computational intelligence methods and unsupervised clustering(more)

Subjects/Keywords: Υπολογιστική νοημοσύνη; Πρόβλεψη χρονοσειρών; Θεωρία παιγνίων; Οικονομική γεωγραφία; Τεχνητά νευρωνικά δίκτυα; Ομαδοποίηση; Εξελικτικοί αλγόριθμοι; Computational intelligence; Time series forecasting; Game theory; Economic geography; Artificial neural networks; Clustering; Evolutionary algorithms

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APA (6th Edition):

Παυλίδης, . . (2008). Υπολογιστική νοημοσύνη στην οικονομία και τη θεωρία παιγνίων. (Thesis). University of Patras; Πανεπιστήμιο Πατρών. Retrieved from http://hdl.handle.net/10442/hedi/18199

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Παυλίδης, Νίκος. “Υπολογιστική νοημοσύνη στην οικονομία και τη θεωρία παιγνίων.” 2008. Thesis, University of Patras; Πανεπιστήμιο Πατρών. Accessed April 19, 2019. http://hdl.handle.net/10442/hedi/18199.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Παυλίδης, Νίκος. “Υπολογιστική νοημοσύνη στην οικονομία και τη θεωρία παιγνίων.” 2008. Web. 19 Apr 2019.

Vancouver:

Παυλίδης . Υπολογιστική νοημοσύνη στην οικονομία και τη θεωρία παιγνίων. [Internet] [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2008. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10442/hedi/18199.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Παυλίδης . Υπολογιστική νοημοσύνη στην οικονομία και τη θεωρία παιγνίων. [Thesis]. University of Patras; Πανεπιστήμιο Πατρών; 2008. Available from: http://hdl.handle.net/10442/hedi/18199

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Θεοφιλάτος, Κωνσταντίνος. Χρήση ευφυών αλγοριθμικών τεχνικών για επεξεργασία πρωτεϊνικών δεδομένων.

Degree: 2013, University of Patras

 H παρούσα διατριβή εκπονήθηκε στο Εργαστήριο Αναγνώρισης Προτύπων, του Τμήματος Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικής του Πανεπιστημίου Πατρών. Αποτελεί μέρος της ευρύτερης ερευνητικής δραστηριότητας του… (more)

Subjects/Keywords: Πρωτεϊνικές αλληλεπιδράσεις; Υπολογιστική νοημοσύνη; Συσταδοποίηση βιολογικών δικτύων; Πρόβλεψη λειτουργίας πρωτεϊνών; Εξελικτικοί αλγόριθμοι; Συστημική βιολογία; 572.64; Protein-protein interactions; Computational intelligence; Biological networks clustering; Protein function prediction; Evolutionary algorithms; Systems biology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Θεοφιλάτος, . (2013). Χρήση ευφυών αλγοριθμικών τεχνικών για επεξεργασία πρωτεϊνικών δεδομένων. (Doctoral Dissertation). University of Patras. Retrieved from http://hdl.handle.net/10889/7778

Chicago Manual of Style (16th Edition):

Θεοφιλάτος, Κωνσταντίνος. “Χρήση ευφυών αλγοριθμικών τεχνικών για επεξεργασία πρωτεϊνικών δεδομένων.” 2013. Doctoral Dissertation, University of Patras. Accessed April 19, 2019. http://hdl.handle.net/10889/7778.

MLA Handbook (7th Edition):

Θεοφιλάτος, Κωνσταντίνος. “Χρήση ευφυών αλγοριθμικών τεχνικών για επεξεργασία πρωτεϊνικών δεδομένων.” 2013. Web. 19 Apr 2019.

Vancouver:

Θεοφιλάτος . Χρήση ευφυών αλγοριθμικών τεχνικών για επεξεργασία πρωτεϊνικών δεδομένων. [Internet] [Doctoral dissertation]. University of Patras; 2013. [cited 2019 Apr 19]. Available from: http://hdl.handle.net/10889/7778.

Council of Science Editors:

Θεοφιλάτος . Χρήση ευφυών αλγοριθμικών τεχνικών για επεξεργασία πρωτεϊνικών δεδομένων. [Doctoral Dissertation]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/7778

29. DOAN CHI DUNG. Performance enhancement of data-driven models with derived quality data and data assimilation in water resources.

Degree: 2005, National University of Singapore

Subjects/Keywords: Data Reduction; Data Cleaning; Clustering; Evolutionary Algorithms; Data Assimilation; Data-Driven Model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

DUNG, D. C. (2005). Performance enhancement of data-driven models with derived quality data and data assimilation in water resources. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/14519 ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/16/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/17/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/18/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/19/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/20/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/21/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/22/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/23/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/24/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/25/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/26/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/27/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/28/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/29/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/1/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/3/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/4/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/5/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/6/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/7/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/8/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/9/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/10/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/11/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/12/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/13/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/14/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/15/bitstream

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

DUNG, DOAN CHI. “Performance enhancement of data-driven models with derived quality data and data assimilation in water resources.” 2005. Thesis, National University of Singapore. Accessed April 19, 2019. http://scholarbank.nus.edu.sg/handle/10635/14519 ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/16/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/17/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/18/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/19/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/20/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/21/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/22/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/23/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/24/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/25/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/26/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/27/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/28/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/29/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/1/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/3/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/4/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/5/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/6/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/7/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/8/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/9/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/10/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/11/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/12/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/13/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/14/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/15/bitstream.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

DUNG, DOAN CHI. “Performance enhancement of data-driven models with derived quality data and data assimilation in water resources.” 2005. Web. 19 Apr 2019.

Vancouver:

DUNG DC. Performance enhancement of data-driven models with derived quality data and data assimilation in water resources. [Internet] [Thesis]. National University of Singapore; 2005. [cited 2019 Apr 19]. Available from: http://scholarbank.nus.edu.sg/handle/10635/14519 ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/16/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/17/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/18/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/19/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/20/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/21/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/22/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/23/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/24/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/25/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/26/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/27/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/28/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/29/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/1/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/3/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/4/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/5/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/6/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/7/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/8/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/9/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/10/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/11/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/12/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/13/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/14/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/15/bitstream.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

DUNG DC. Performance enhancement of data-driven models with derived quality data and data assimilation in water resources. [Thesis]. National University of Singapore; 2005. Available from: http://scholarbank.nus.edu.sg/handle/10635/14519 ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/16/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/17/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/18/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/19/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/20/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/21/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/22/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/23/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/24/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/25/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/26/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/27/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/28/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/29/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/1/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/3/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/4/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/5/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/6/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/7/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/8/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/9/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/10/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/11/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/12/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/13/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/14/bitstream ; http://scholarbank.nus.edu.sg/bitstream/10635%2F14519/15/bitstream

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Peignier, Sergio. Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms : Regroupement de sous-espaces sur des ensembles de données statiques et des flux de données dynamiques à l'aide d'algorithmes bioinspirés.

Degree: Docteur es, Informatique, 2017, Lyon

Une tâche importante qui a été étudiée dans le contexte de données à forte dimensionnalité est la tâche connue sous le nom de subspace clustering.… (more)

Subjects/Keywords: Informatique; Flux de données; Algorithmes évolutionnaires; Alogorithmes bio-Inspirés; Regroupement de sous-Espaces; Information Technology; Data streams; Evolutionary algorithms; Bio-Inspired Algorithms; Subspace clustering; 005.101 072

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Peignier, S. (2017). Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms : Regroupement de sous-espaces sur des ensembles de données statiques et des flux de données dynamiques à l'aide d'algorithmes bioinspirés. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2017LYSEI071

Chicago Manual of Style (16th Edition):

Peignier, Sergio. “Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms : Regroupement de sous-espaces sur des ensembles de données statiques et des flux de données dynamiques à l'aide d'algorithmes bioinspirés.” 2017. Doctoral Dissertation, Lyon. Accessed April 19, 2019. http://www.theses.fr/2017LYSEI071.

MLA Handbook (7th Edition):

Peignier, Sergio. “Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms : Regroupement de sous-espaces sur des ensembles de données statiques et des flux de données dynamiques à l'aide d'algorithmes bioinspirés.” 2017. Web. 19 Apr 2019.

Vancouver:

Peignier S. Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms : Regroupement de sous-espaces sur des ensembles de données statiques et des flux de données dynamiques à l'aide d'algorithmes bioinspirés. [Internet] [Doctoral dissertation]. Lyon; 2017. [cited 2019 Apr 19]. Available from: http://www.theses.fr/2017LYSEI071.

Council of Science Editors:

Peignier S. Subspace clustering on static datasets and dynamic data streams using bio-inspired algorithms : Regroupement de sous-espaces sur des ensembles de données statiques et des flux de données dynamiques à l'aide d'algorithmes bioinspirés. [Doctoral Dissertation]. Lyon; 2017. Available from: http://www.theses.fr/2017LYSEI071

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