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You searched for subject:(Distributed clustering). Showing records 1 – 30 of 58 total matches.

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Universiteit Utrecht

1. Plattel, C.J. Distributed and Incremental Clustering using Shared Nearest Neighbours.

Degree: 2014, Universiteit Utrecht

 Cluster analysis is a large field inside data mining. It tries to capture the structure of a data set by grouping similar data points into… (more)

Subjects/Keywords: Clustering; Algorithms; Incremental; Distributed; Shared Nearest Neighbour

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APA (6th Edition):

Plattel, C. J. (2014). Distributed and Incremental Clustering using Shared Nearest Neighbours. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296602

Chicago Manual of Style (16th Edition):

Plattel, C J. “Distributed and Incremental Clustering using Shared Nearest Neighbours.” 2014. Masters Thesis, Universiteit Utrecht. Accessed March 22, 2019. http://dspace.library.uu.nl:8080/handle/1874/296602.

MLA Handbook (7th Edition):

Plattel, C J. “Distributed and Incremental Clustering using Shared Nearest Neighbours.” 2014. Web. 22 Mar 2019.

Vancouver:

Plattel CJ. Distributed and Incremental Clustering using Shared Nearest Neighbours. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2019 Mar 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/296602.

Council of Science Editors:

Plattel CJ. Distributed and Incremental Clustering using Shared Nearest Neighbours. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296602


Georgia Tech

2. Zheng, Yuchen. Efficient and distributed computational methods for complex systems.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

 Many statistical inference problems for large-scale complex systems involve using analytical tools, such as statistics, mathematical optimization and machine learning algorithms. We demonstrate the importance… (more)

Subjects/Keywords: Distributed computing; Statistics; Health analytics; Clustering

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APA (6th Edition):

Zheng, Y. (2018). Efficient and distributed computational methods for complex systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59869

Chicago Manual of Style (16th Edition):

Zheng, Yuchen. “Efficient and distributed computational methods for complex systems.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 22, 2019. http://hdl.handle.net/1853/59869.

MLA Handbook (7th Edition):

Zheng, Yuchen. “Efficient and distributed computational methods for complex systems.” 2018. Web. 22 Mar 2019.

Vancouver:

Zheng Y. Efficient and distributed computational methods for complex systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1853/59869.

Council of Science Editors:

Zheng Y. Efficient and distributed computational methods for complex systems. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59869

3. Vendramin, Lucas. Estudo e desenvolvimento de algoritmos para agrupamento fuzzy de dados em cenários centralizados e distribuídos.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2012, University of São Paulo

Agrupamento de dados é um dos problemas centrais na áea de mineração de dados, o qual consiste basicamente em particionar os dados em grupos de… (more)

Subjects/Keywords: Agrupamento de dado distribuído; Agrupamento de dados; Clustering; Distributed clustering

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APA (6th Edition):

Vendramin, L. (2012). Estudo e desenvolvimento de algoritmos para agrupamento fuzzy de dados em cenários centralizados e distribuídos. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10092012-163429/ ;

Chicago Manual of Style (16th Edition):

Vendramin, Lucas. “Estudo e desenvolvimento de algoritmos para agrupamento fuzzy de dados em cenários centralizados e distribuídos.” 2012. Masters Thesis, University of São Paulo. Accessed March 22, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10092012-163429/ ;.

MLA Handbook (7th Edition):

Vendramin, Lucas. “Estudo e desenvolvimento de algoritmos para agrupamento fuzzy de dados em cenários centralizados e distribuídos.” 2012. Web. 22 Mar 2019.

Vancouver:

Vendramin L. Estudo e desenvolvimento de algoritmos para agrupamento fuzzy de dados em cenários centralizados e distribuídos. [Internet] [Masters thesis]. University of São Paulo; 2012. [cited 2019 Mar 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10092012-163429/ ;.

Council of Science Editors:

Vendramin L. Estudo e desenvolvimento de algoritmos para agrupamento fuzzy de dados em cenários centralizados e distribuídos. [Masters Thesis]. University of São Paulo; 2012. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-10092012-163429/ ;


Georgia Tech

4. Liang, Yingyu. Modern aspects of unsupervised learning.

Degree: PhD, Computer Science, 2014, Georgia Tech

 Unsupervised learning has become more and more important due to the recent explosion of data. Clustering, a key topic in unsupervised learning, is a well-studied… (more)

Subjects/Keywords: Unsupervised learning; Clustering; Perturbation resilience; Distributed clustering; Community detection

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APA (6th Edition):

Liang, Y. (2014). Modern aspects of unsupervised learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52282

Chicago Manual of Style (16th Edition):

Liang, Yingyu. “Modern aspects of unsupervised learning.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 22, 2019. http://hdl.handle.net/1853/52282.

MLA Handbook (7th Edition):

Liang, Yingyu. “Modern aspects of unsupervised learning.” 2014. Web. 22 Mar 2019.

Vancouver:

Liang Y. Modern aspects of unsupervised learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1853/52282.

Council of Science Editors:

Liang Y. Modern aspects of unsupervised learning. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52282

5. -7585-6925. Distributed and dynamic factor modeling of online data.

Degree: Electrical and Computer Engineering, 2017, University of Texas – Austin

 The domain of data mining and machine learning has expanded rapidly in recent years to include both large-scale distributed and streaming computation. Although many open-source… (more)

Subjects/Keywords: Distributed clustering; Dynamic clustering; Matrix factorization; Co-factorization

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APA (6th Edition):

-7585-6925. (2017). Distributed and dynamic factor modeling of online data. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62065

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):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Thesis, University of Texas – Austin. Accessed March 22, 2019. http://hdl.handle.net/2152/62065.

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):

-7585-6925. “Distributed and dynamic factor modeling of online data.” 2017. Web. 22 Mar 2019.

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

Vancouver:

-7585-6925. Distributed and dynamic factor modeling of online data. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/2152/62065.

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:

-7585-6925. Distributed and dynamic factor modeling of online data. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62065

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


NSYSU

6. Huang, Bo-chi. Distributed Spiral Optimization: Using Clustering as a Case.

Degree: Master, Computer Science and Engineering, 2013, NSYSU

 Nowadays, metaheuristics have become more and more important in solving the combinatorial optimization problems (COPs) for which the traditional methods (such as k-means, tabu search,… (more)

Subjects/Keywords: metaheuristic; spiral optimization; clustering; sensitivity analysis; distributed spiral optimization

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APA (6th Edition):

Huang, B. (2013). Distributed Spiral Optimization: Using Clustering as a Case. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

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):

Huang, Bo-chi. “Distributed Spiral Optimization: Using Clustering as a Case.” 2013. Thesis, NSYSU. Accessed March 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958.

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

MLA Handbook (7th Edition):

Huang, Bo-chi. “Distributed Spiral Optimization: Using Clustering as a Case.” 2013. Web. 22 Mar 2019.

Vancouver:

Huang B. Distributed Spiral Optimization: Using Clustering as a Case. [Internet] [Thesis]. NSYSU; 2013. [cited 2019 Mar 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958.

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

Council of Science Editors:

Huang B. Distributed Spiral Optimization: Using Clustering as a Case. [Thesis]. NSYSU; 2013. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0630113-105958

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


University of Georgia

7. Joshi, Ankita Prashant. Open source distributed spectral clustering.

Degree: MS, Artificial Intelligence, 2017, University of Georgia

 In this thesis, we propose an approximation of the Spectral Clustering algorithm to cluster high-dimensional large datasets. Spectral Clustering is limited in its application as… (more)

Subjects/Keywords: Spectral Clustering; Distributed computing; Apache Spark; Approximate Nearest Neighbors.

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APA (6th Edition):

Joshi, A. P. (2017). Open source distributed spectral clustering. (Masters Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/37798

Chicago Manual of Style (16th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Masters Thesis, University of Georgia. Accessed March 22, 2019. http://hdl.handle.net/10724/37798.

MLA Handbook (7th Edition):

Joshi, Ankita Prashant. “Open source distributed spectral clustering.” 2017. Web. 22 Mar 2019.

Vancouver:

Joshi AP. Open source distributed spectral clustering. [Internet] [Masters thesis]. University of Georgia; 2017. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10724/37798.

Council of Science Editors:

Joshi AP. Open source distributed spectral clustering. [Masters Thesis]. University of Georgia; 2017. Available from: http://hdl.handle.net/10724/37798


University of Notre Dame

8. David A Cieslak. A Clustering Defense Against Distributed Denial of Service Attacks</h1>.

Degree: MSin Computer Science and Engineering, Computer Science and Engineering, 2006, University of Notre Dame

Distributed Denial of Service (DDoS) attacks can quickly bring normally effective web services to a screeching halt. While there has been a significant amount… (more)

Subjects/Keywords: Distributed Denial of Service; Clustering

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APA (6th Edition):

Cieslak, D. A. (2006). A Clustering Defense Against Distributed Denial of Service Attacks</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/g732d793z75

Chicago Manual of Style (16th Edition):

Cieslak, David A. “A Clustering Defense Against Distributed Denial of Service Attacks</h1>.” 2006. Masters Thesis, University of Notre Dame. Accessed March 22, 2019. https://curate.nd.edu/show/g732d793z75.

MLA Handbook (7th Edition):

Cieslak, David A. “A Clustering Defense Against Distributed Denial of Service Attacks</h1>.” 2006. Web. 22 Mar 2019.

Vancouver:

Cieslak DA. A Clustering Defense Against Distributed Denial of Service Attacks</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2006. [cited 2019 Mar 22]. Available from: https://curate.nd.edu/show/g732d793z75.

Council of Science Editors:

Cieslak DA. A Clustering Defense Against Distributed Denial of Service Attacks</h1>. [Masters Thesis]. University of Notre Dame; 2006. Available from: https://curate.nd.edu/show/g732d793z75


The Ohio State University

9. Bozdag, Doruk. Graph Coloring and Clustering Algorithms for Science and Engineering Applications.

Degree: PhD, Electrical and Computer Engineering, 2008, The Ohio State University

 In this dissertation, efficient algorithms are proposed for two important combinatorial problems in science and engineering applications: parallel graph coloring and subspace clustering. For parallel… (more)

Subjects/Keywords: Bioinformatics; Computer Science; Electrical Engineering; parallel graph coloring; distributed memor; y biclustering; co-clustering; subspace clustering

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APA (6th Edition):

Bozdag, D. (2008). Graph Coloring and Clustering Algorithms for Science and Engineering Applications. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1229459765

Chicago Manual of Style (16th Edition):

Bozdag, Doruk. “Graph Coloring and Clustering Algorithms for Science and Engineering Applications.” 2008. Doctoral Dissertation, The Ohio State University. Accessed March 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1229459765.

MLA Handbook (7th Edition):

Bozdag, Doruk. “Graph Coloring and Clustering Algorithms for Science and Engineering Applications.” 2008. Web. 22 Mar 2019.

Vancouver:

Bozdag D. Graph Coloring and Clustering Algorithms for Science and Engineering Applications. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2019 Mar 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1229459765.

Council of Science Editors:

Bozdag D. Graph Coloring and Clustering Algorithms for Science and Engineering Applications. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1229459765

10. Haggar, Bachar Salim. Auto-organisation et routage dans les réseaux mobiles ad hoc : Self-organizing and routing in mobile ad hoc networks.

Degree: Docteur es, Sciences - STS, 2011, Reims

Nos travaux se positionnent dans le cadre de l'algorithmique distribuée et plus particulièrement des réseaux ad hoc. Les réseaux ad hoc sont auto-organisés en permettant… (more)

Subjects/Keywords: Réseaux ad hoc; Clustering; Routage; Diffusion; Auto-stabilisation; Systèmes distribués; Ad hoc networks; Clustering; Routing; Broadcast; Self-stabilizing; Distributed system

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APA (6th Edition):

Haggar, B. S. (2011). Auto-organisation et routage dans les réseaux mobiles ad hoc : Self-organizing and routing in mobile ad hoc networks. (Doctoral Dissertation). Reims. Retrieved from http://www.theses.fr/2011REIMS036

Chicago Manual of Style (16th Edition):

Haggar, Bachar Salim. “Auto-organisation et routage dans les réseaux mobiles ad hoc : Self-organizing and routing in mobile ad hoc networks.” 2011. Doctoral Dissertation, Reims. Accessed March 22, 2019. http://www.theses.fr/2011REIMS036.

MLA Handbook (7th Edition):

Haggar, Bachar Salim. “Auto-organisation et routage dans les réseaux mobiles ad hoc : Self-organizing and routing in mobile ad hoc networks.” 2011. Web. 22 Mar 2019.

Vancouver:

Haggar BS. Auto-organisation et routage dans les réseaux mobiles ad hoc : Self-organizing and routing in mobile ad hoc networks. [Internet] [Doctoral dissertation]. Reims; 2011. [cited 2019 Mar 22]. Available from: http://www.theses.fr/2011REIMS036.

Council of Science Editors:

Haggar BS. Auto-organisation et routage dans les réseaux mobiles ad hoc : Self-organizing and routing in mobile ad hoc networks. [Doctoral Dissertation]. Reims; 2011. Available from: http://www.theses.fr/2011REIMS036


AUT University

11. Sabit, Hakilo. Distributed incremental data stream mining for wireless sensor network .

Degree: 2013, AUT University

 Wireless sensor networks (WSNs) despite their energy, bandwidth, storage, and computational power constraints, have embraced dynamic applications. These applications generate a large amount of data… (more)

Subjects/Keywords: Wireless sensor network; Distributed stream mining; Distributed sensor stream processing; Fuzzy clustering; Micro-scale forest fire monitoring

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APA (6th Edition):

Sabit, H. (2013). Distributed incremental data stream mining for wireless sensor network . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/5258

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):

Sabit, Hakilo. “Distributed incremental data stream mining for wireless sensor network .” 2013. Thesis, AUT University. Accessed March 22, 2019. http://hdl.handle.net/10292/5258.

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

MLA Handbook (7th Edition):

Sabit, Hakilo. “Distributed incremental data stream mining for wireless sensor network .” 2013. Web. 22 Mar 2019.

Vancouver:

Sabit H. Distributed incremental data stream mining for wireless sensor network . [Internet] [Thesis]. AUT University; 2013. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10292/5258.

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

Council of Science Editors:

Sabit H. Distributed incremental data stream mining for wireless sensor network . [Thesis]. AUT University; 2013. Available from: http://hdl.handle.net/10292/5258

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

12. Lammersen, Christiane. Approximation Techniques for Facility Location and Their Applications in Metric Embeddings.

Degree: 2010, Technische Universität Dortmund

 This thesis addresses the development of geometric approximation algorithms for huge datasets and is subdivided into two parts. The first part deals with algorithms for… (more)

Subjects/Keywords: approximation algorithms; clustering; distributed algorithms; embedding; facility location; kinetic data structures; streaming algorithms; 004

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APA (6th Edition):

Lammersen, C. (2010). Approximation Techniques for Facility Location and Their Applications in Metric Embeddings. (Thesis). Technische Universität Dortmund. Retrieved from http://hdl.handle.net/2003/27597

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):

Lammersen, Christiane. “Approximation Techniques for Facility Location and Their Applications in Metric Embeddings.” 2010. Thesis, Technische Universität Dortmund. Accessed March 22, 2019. http://hdl.handle.net/2003/27597.

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

MLA Handbook (7th Edition):

Lammersen, Christiane. “Approximation Techniques for Facility Location and Their Applications in Metric Embeddings.” 2010. Web. 22 Mar 2019.

Vancouver:

Lammersen C. Approximation Techniques for Facility Location and Their Applications in Metric Embeddings. [Internet] [Thesis]. Technische Universität Dortmund; 2010. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/2003/27597.

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

Council of Science Editors:

Lammersen C. Approximation Techniques for Facility Location and Their Applications in Metric Embeddings. [Thesis]. Technische Universität Dortmund; 2010. Available from: http://hdl.handle.net/2003/27597

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


Texas A&M University

13. Charalambous, Charalambos. A Biologically Inspired Networking Model for Wireless Sensor Networks.

Degree: 2011, Texas A&M University

 Wireless sensor networks (WSNs) have emerged in strategic applications such as target detection, localization, and tracking in battlefields, where the large-scale na- ture renders centralized… (more)

Subjects/Keywords: bio-inspired; sensor networks; distributed; clustering; induction; node activation; inhibition; topology control; networking model

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APA (6th Edition):

Charalambous, C. (2011). A Biologically Inspired Networking Model for Wireless Sensor Networks. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7508

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):

Charalambous, Charalambos. “A Biologically Inspired Networking Model for Wireless Sensor Networks.” 2011. Thesis, Texas A&M University. Accessed March 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7508.

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

MLA Handbook (7th Edition):

Charalambous, Charalambos. “A Biologically Inspired Networking Model for Wireless Sensor Networks.” 2011. Web. 22 Mar 2019.

Vancouver:

Charalambous C. A Biologically Inspired Networking Model for Wireless Sensor Networks. [Internet] [Thesis]. Texas A&M University; 2011. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7508.

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

Council of Science Editors:

Charalambous C. A Biologically Inspired Networking Model for Wireless Sensor Networks. [Thesis]. Texas A&M University; 2011. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7508

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


Anna University

14. Sujatha K. Image processing for flame monitoring in power station boilers;.

Degree: 2013, Anna University

The quality of combustion in power station boiler plays an important role in minimizing the flue gas emissions. In this research work, various intelligent schemes… (more)

Subjects/Keywords: Image processing; flame monitoring; power station boilers; K-means clustering; Distributed Control System

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APA (6th Edition):

K, S. (2013). Image processing for flame monitoring in power station boilers;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13803

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):

K, Sujatha. “Image processing for flame monitoring in power station boilers;.” 2013. Thesis, Anna University. Accessed March 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/13803.

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

MLA Handbook (7th Edition):

K, Sujatha. “Image processing for flame monitoring in power station boilers;.” 2013. Web. 22 Mar 2019.

Vancouver:

K S. Image processing for flame monitoring in power station boilers;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Mar 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13803.

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

Council of Science Editors:

K S. Image processing for flame monitoring in power station boilers;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13803

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

15. Rezvoy, Clément. Large Scale Parallel Inference of Protein and Protein Domain families : Inférence des familles de protéines et de domaines protéiques à grande échelle.

Degree: Docteur es, Informatique, 2011, Lyon, École normale supérieure

Les domaines protéiques sont des segments indépendants qui sont présents de façon récurrente dans plusieurs protéines. L'arrangement combinatoire de ces domaines est à l'origine de… (more)

Subjects/Keywords: Bioinformatique; Protéine; Domaine; MPI; Calcul distribué; Bioinformatics; Protein; Domain; MPI; Distributed computing; Clustering

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APA (6th Edition):

Rezvoy, C. (2011). Large Scale Parallel Inference of Protein and Protein Domain families : Inférence des familles de protéines et de domaines protéiques à grande échelle. (Doctoral Dissertation). Lyon, École normale supérieure. Retrieved from http://www.theses.fr/2011ENSL0643

Chicago Manual of Style (16th Edition):

Rezvoy, Clément. “Large Scale Parallel Inference of Protein and Protein Domain families : Inférence des familles de protéines et de domaines protéiques à grande échelle.” 2011. Doctoral Dissertation, Lyon, École normale supérieure. Accessed March 22, 2019. http://www.theses.fr/2011ENSL0643.

MLA Handbook (7th Edition):

Rezvoy, Clément. “Large Scale Parallel Inference of Protein and Protein Domain families : Inférence des familles de protéines et de domaines protéiques à grande échelle.” 2011. Web. 22 Mar 2019.

Vancouver:

Rezvoy C. Large Scale Parallel Inference of Protein and Protein Domain families : Inférence des familles de protéines et de domaines protéiques à grande échelle. [Internet] [Doctoral dissertation]. Lyon, École normale supérieure; 2011. [cited 2019 Mar 22]. Available from: http://www.theses.fr/2011ENSL0643.

Council of Science Editors:

Rezvoy C. Large Scale Parallel Inference of Protein and Protein Domain families : Inférence des familles de protéines et de domaines protéiques à grande échelle. [Doctoral Dissertation]. Lyon, École normale supérieure; 2011. Available from: http://www.theses.fr/2011ENSL0643


University of Manchester

16. Orlinski, Matthew. Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks.

Degree: PhD, 2013, University of Manchester

 Pocket Switched Networks (PSNs) offer a means of infrastructureless inter-human communication by utilising Delay and Disruption Tolerant Networking (DTN) technology. However, creating PSNs involves solving… (more)

Subjects/Keywords: 004.6; Pocket switched networks; Neighbour discovery; Distributed spatio-temporal clustering; Opportunistic data delivery; Wireless networks

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APA (6th Edition):

Orlinski, M. (2013). Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101

Chicago Manual of Style (16th Edition):

Orlinski, Matthew. “Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks.” 2013. Doctoral Dissertation, University of Manchester. Accessed March 22, 2019. https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101.

MLA Handbook (7th Edition):

Orlinski, Matthew. “Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks.” 2013. Web. 22 Mar 2019.

Vancouver:

Orlinski M. Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. [Internet] [Doctoral dissertation]. University of Manchester; 2013. [cited 2019 Mar 22]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101.

Council of Science Editors:

Orlinski M. Neighbour discovery and distributed spatio-temporal cluster detection in pocket switched networks. [Doctoral Dissertation]. University of Manchester; 2013. Available from: https://www.research.manchester.ac.uk/portal/en/theses/neighbour-discovery-and-distributed-spatiotemporal-cluster-detection-in-pocket-switched-networks(3b1f86f5-f3de-4c8e-921b-a57429c35152).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588101


Indian Institute of Science

17. Karjee, Jyotirmoy. Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks.

Degree: 2013, Indian Institute of Science

 One of the major applications of wireless sensor networks is to sense accurate and reliable data from the physical environment with or without a priori… (more)

Subjects/Keywords: Wireless Sensor Networks; Sensor Network Models; Data Accuracy Estimation Models; Spatio-Temporal Data Estimation; Deterministic Distributed Clustering (DDC) Algorithm; Adaptive Data Accuracy (ADA) Model; Spatial Data Correlation Distributed Clustering (SDCDC) Algorithm; Spatially Correlated Data Accuracy Estimation Models; Wireless Sensor Networks - Clustering Algorithms; Estimated Data Accuracy Model (EDA); Cluster Data Accuracy Model (CDA); Distributed Cluster Data Accuracy Model (DCDA); Wireless Sensor Nodes - Spatial Data Correlation; Distributed Clustering; Distributed Clusters - Data Estimation; Communication Engineering

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

APA (6th Edition):

Karjee, J. (2013). Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/3087

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):

Karjee, Jyotirmoy. “Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks.” 2013. Thesis, Indian Institute of Science. Accessed March 22, 2019. http://hdl.handle.net/2005/3087.

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

MLA Handbook (7th Edition):

Karjee, Jyotirmoy. “Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks.” 2013. Web. 22 Mar 2019.

Vancouver:

Karjee J. Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks. [Internet] [Thesis]. Indian Institute of Science; 2013. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/2005/3087.

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

Council of Science Editors:

Karjee J. Spatially Correlated Data Accuracy Estimation Models in Wireless Sensor Networks. [Thesis]. Indian Institute of Science; 2013. Available from: http://hdl.handle.net/2005/3087

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


University of Cincinnati

18. KHEDR, AHMED MOHAMED. DESIGN OF DECOMPOSABLE ALGORITHMS FOR DISTRIBUTED DATABASES.

Degree: PhD, Engineering : Computer Science and Engineering, 2003, University of Cincinnati

 Most computer algorithms have been designed for situations in which all relevant data is stored at a single Computer site. This is the classical model… (more)

Subjects/Keywords: Computer Science; decomposable algorithm; distributed database; clustering; graph

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APA (6th Edition):

KHEDR, A. M. (2003). DESIGN OF DECOMPOSABLE ALGORITHMS FOR DISTRIBUTED DATABASES. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1044894428

Chicago Manual of Style (16th Edition):

KHEDR, AHMED MOHAMED. “DESIGN OF DECOMPOSABLE ALGORITHMS FOR DISTRIBUTED DATABASES.” 2003. Doctoral Dissertation, University of Cincinnati. Accessed March 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1044894428.

MLA Handbook (7th Edition):

KHEDR, AHMED MOHAMED. “DESIGN OF DECOMPOSABLE ALGORITHMS FOR DISTRIBUTED DATABASES.” 2003. Web. 22 Mar 2019.

Vancouver:

KHEDR AM. DESIGN OF DECOMPOSABLE ALGORITHMS FOR DISTRIBUTED DATABASES. [Internet] [Doctoral dissertation]. University of Cincinnati; 2003. [cited 2019 Mar 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1044894428.

Council of Science Editors:

KHEDR AM. DESIGN OF DECOMPOSABLE ALGORITHMS FOR DISTRIBUTED DATABASES. [Doctoral Dissertation]. University of Cincinnati; 2003. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1044894428


Universidade do Rio Grande do Sul

19. Santos, Daniela Scherer dos. Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames.

Degree: 2009, Universidade do Rio Grande do Sul

Agrupamento de dados é o processo que consiste em dividir um conjunto de dados em grupos de forma que dados semelhantes entre si permaneçam no… (more)

Subjects/Keywords: Inteligência artificial; Artificial intelligence; Multiagent systems; Sistemas multiagentes; Insetos sociais; Swarm intelligence; Distributed clustering; Bee colony organization

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APA (6th Edition):

Santos, D. S. d. (2009). Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/18249

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):

Santos, Daniela Scherer dos. “Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames.” 2009. Thesis, Universidade do Rio Grande do Sul. Accessed March 22, 2019. http://hdl.handle.net/10183/18249.

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

MLA Handbook (7th Edition):

Santos, Daniela Scherer dos. “Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames.” 2009. Web. 22 Mar 2019.

Vancouver:

Santos DSd. Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2009. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10183/18249.

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

Council of Science Editors:

Santos DSd. Bee clustering : um algoritmo para agrupamento de dados inspirado em inteligência de enxames. [Thesis]. Universidade do Rio Grande do Sul; 2009. Available from: http://hdl.handle.net/10183/18249

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


University of Nevada – Las Vegas

20. Subedi, Mahesh. Self-stabilizing group membership protocol.

Degree: MSin Computer Science, Computer Science, 2010, University of Nevada – Las Vegas

  In this thesis, we consider the problem of partitioning a network into groups of bounded diameter. Given a network of processes X and a… (more)

Subjects/Keywords: Clustering; Computer networks; Distributed algorithms; Group membership; Network partitioning; Self-stabilizing algorithm; Computer Sciences; Digital Communications and Networking; Systems and Communications

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APA (6th Edition):

Subedi, M. (2010). Self-stabilizing group membership protocol. (Masters Thesis). University of Nevada – Las Vegas. Retrieved from https://digitalscholarship.unlv.edu/thesesdissertations/773

Chicago Manual of Style (16th Edition):

Subedi, Mahesh. “Self-stabilizing group membership protocol.” 2010. Masters Thesis, University of Nevada – Las Vegas. Accessed March 22, 2019. https://digitalscholarship.unlv.edu/thesesdissertations/773.

MLA Handbook (7th Edition):

Subedi, Mahesh. “Self-stabilizing group membership protocol.” 2010. Web. 22 Mar 2019.

Vancouver:

Subedi M. Self-stabilizing group membership protocol. [Internet] [Masters thesis]. University of Nevada – Las Vegas; 2010. [cited 2019 Mar 22]. Available from: https://digitalscholarship.unlv.edu/thesesdissertations/773.

Council of Science Editors:

Subedi M. Self-stabilizing group membership protocol. [Masters Thesis]. University of Nevada – Las Vegas; 2010. Available from: https://digitalscholarship.unlv.edu/thesesdissertations/773


University of Cincinnati

21. Carraher, Lee A. Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data.

Degree: PhD, Engineering and Applied Science: Computer Science and Engineering, 2018, University of Cincinnati

Clustering data has gained popularity in recent years due to an expanding opportunity to discover knowledgeand collect insights from multiple widely available and diverse data… (more)

Subjects/Keywords: Computer Engineering; data clustering; distributed data mining; streaming data algorithms; locality sensitive hashing; count-min cut tree; random projection

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

APA (6th Edition):

Carraher, L. A. (2018). Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818

Chicago Manual of Style (16th Edition):

Carraher, Lee A. “Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data.” 2018. Doctoral Dissertation, University of Cincinnati. Accessed March 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818.

MLA Handbook (7th Edition):

Carraher, Lee A. “Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data.” 2018. Web. 22 Mar 2019.

Vancouver:

Carraher LA. Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2018. [cited 2019 Mar 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818.

Council of Science Editors:

Carraher LA. Approximate Clustering Algorithms for High Dimensional Streaming and Distributed Data. [Doctoral Dissertation]. University of Cincinnati; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1511860805777818


Brigham Young University

22. Ekstrom, Nathan Hyrum. Increasing DOGMA Scaling Through Clustering.

Degree: MS, 2008, Brigham Young University

 DOGMA is a distributed computing architecture developed at Brigham Young University. It makes use of idle computers to provide additional computing resources to applications, similar… (more)

Subjects/Keywords: DOGMA; clustering; distributed computing; scaling; grid computing; Computer Sciences

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APA (6th Edition):

Ekstrom, N. H. (2008). Increasing DOGMA Scaling Through Clustering. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2368&context=etd

Chicago Manual of Style (16th Edition):

Ekstrom, Nathan Hyrum. “Increasing DOGMA Scaling Through Clustering.” 2008. Masters Thesis, Brigham Young University. Accessed March 22, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2368&context=etd.

MLA Handbook (7th Edition):

Ekstrom, Nathan Hyrum. “Increasing DOGMA Scaling Through Clustering.” 2008. Web. 22 Mar 2019.

Vancouver:

Ekstrom NH. Increasing DOGMA Scaling Through Clustering. [Internet] [Masters thesis]. Brigham Young University; 2008. [cited 2019 Mar 22]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2368&context=etd.

Council of Science Editors:

Ekstrom NH. Increasing DOGMA Scaling Through Clustering. [Masters Thesis]. Brigham Young University; 2008. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=2368&context=etd

23. El Chamie, Mahmoud. Optimisation, contrôle et théorie des jeux dans les protocoles de consensus : Optimization, control, and game theoretical problems in consensus protocols.

Degree: Docteur es, Informatique, 2014, Nice

Les protocoles de consensus ont gagné beaucoup d’intérêt ces dernières années. Dans cette thèse, nous étudions les problèmes d’optimisation, de contrôle, et de théorie de… (more)

Subjects/Keywords: Consensus de moyenne; Calcul distribué; Optimisation distribuée; Systèmes multi-agents; Théorie des jeux; Quantification; Consensus protocols; Distributed averaging; Distributed optimization; Multi-agent systems; Game theory; Adversarial intervention; Quantization; Clustering

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APA (6th Edition):

El Chamie, M. (2014). Optimisation, contrôle et théorie des jeux dans les protocoles de consensus : Optimization, control, and game theoretical problems in consensus protocols. (Doctoral Dissertation). Nice. Retrieved from http://www.theses.fr/2014NICE4094

Chicago Manual of Style (16th Edition):

El Chamie, Mahmoud. “Optimisation, contrôle et théorie des jeux dans les protocoles de consensus : Optimization, control, and game theoretical problems in consensus protocols.” 2014. Doctoral Dissertation, Nice. Accessed March 22, 2019. http://www.theses.fr/2014NICE4094.

MLA Handbook (7th Edition):

El Chamie, Mahmoud. “Optimisation, contrôle et théorie des jeux dans les protocoles de consensus : Optimization, control, and game theoretical problems in consensus protocols.” 2014. Web. 22 Mar 2019.

Vancouver:

El Chamie M. Optimisation, contrôle et théorie des jeux dans les protocoles de consensus : Optimization, control, and game theoretical problems in consensus protocols. [Internet] [Doctoral dissertation]. Nice; 2014. [cited 2019 Mar 22]. Available from: http://www.theses.fr/2014NICE4094.

Council of Science Editors:

El Chamie M. Optimisation, contrôle et théorie des jeux dans les protocoles de consensus : Optimization, control, and game theoretical problems in consensus protocols. [Doctoral Dissertation]. Nice; 2014. Available from: http://www.theses.fr/2014NICE4094


University of Waterloo

24. Hammouda, Khaled M. Distributed Document Clustering and Cluster Summarization in Peer-to-Peer Environments.

Degree: 2007, University of Waterloo

 This thesis addresses difficult challenges in distributed document clustering and cluster summarization. Mining large document collections poses many challenges, one of which is the extraction… (more)

Subjects/Keywords: Document Clustering; Distributed Clustering; Distributed Data Mining; Peer-to-Peer Data Mining; Document Cluster Summarization; Keyphrase Extraction

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

APA (6th Edition):

Hammouda, K. M. (2007). Distributed Document Clustering and Cluster Summarization in Peer-to-Peer Environments. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/3099

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):

Hammouda, Khaled M. “Distributed Document Clustering and Cluster Summarization in Peer-to-Peer Environments.” 2007. Thesis, University of Waterloo. Accessed March 22, 2019. http://hdl.handle.net/10012/3099.

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

MLA Handbook (7th Edition):

Hammouda, Khaled M. “Distributed Document Clustering and Cluster Summarization in Peer-to-Peer Environments.” 2007. Web. 22 Mar 2019.

Vancouver:

Hammouda KM. Distributed Document Clustering and Cluster Summarization in Peer-to-Peer Environments. [Internet] [Thesis]. University of Waterloo; 2007. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10012/3099.

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

Council of Science Editors:

Hammouda KM. Distributed Document Clustering and Cluster Summarization in Peer-to-Peer Environments. [Thesis]. University of Waterloo; 2007. Available from: http://hdl.handle.net/10012/3099

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

25. Μαυροειδής, Δημήτριος. Stability of spectral learning algorithms: theory, methodologies and applications.

Degree: 2009, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών

 In Data Mining an important research problem is the identification and analysis of theoretical properties that characterize and explain the behavior of learning algorithms. Based… (more)

Subjects/Keywords: Αλγόριθμοι, Φασματικοί; Συσταδοποίηση; Ευστάθεια φασματικών αλγορίθμων; Ημιεπιβλεπώμενη μάθηση; Επιτάχυνση της μεθόδου δυνάμεων; Συσταδοποίηση, Κατανεμημένη; Spectral algorithms; Spectral clustering; Stability of spectral algorithms; Spectral ordering; Semisupervised spectral clustering; Accelerating the power maethod; Distributed clustering

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APA (6th Edition):

Μαυροειδής, . . (2009). Stability of spectral learning algorithms: theory, methodologies and applications. (Thesis). Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Retrieved from http://hdl.handle.net/10442/hedi/17216

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):

Μαυροειδής, Δημήτριος. “Stability of spectral learning algorithms: theory, methodologies and applications.” 2009. Thesis, Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών. Accessed March 22, 2019. http://hdl.handle.net/10442/hedi/17216.

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

MLA Handbook (7th Edition):

Μαυροειδής, Δημήτριος. “Stability of spectral learning algorithms: theory, methodologies and applications.” 2009. Web. 22 Mar 2019.

Vancouver:

Μαυροειδής . Stability of spectral learning algorithms: theory, methodologies and applications. [Internet] [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10442/hedi/17216.

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

Council of Science Editors:

Μαυροειδής . Stability of spectral learning algorithms: theory, methodologies and applications. [Thesis]. Athens University Economics and Business (AUEB); Οικονομικό Πανεπιστήμιο Αθηνών; 2009. Available from: http://hdl.handle.net/10442/hedi/17216

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

26. Cristaldi, Salvatore. Distributed Algorithms for the Configuration and Management of Wireless Ad-Hoc Networks with Movable Base Stations constrained by Motion and Communication Obstacles.

Degree: 2011, Università degli Studi di Catania

 In this thesis, we propose a protocol for dynamic reconfiguration of ad-hoc wireless networks with movable base stations in presence of obstacles. Hosts are assigned… (more)

Subjects/Keywords: Reference Point Group Mobility Model; Random Way Point Mobility Model; Mobile Base Stations; Distributed Clustering; Dynamic Two Level Hierarchy AODV; Communication and Movement Obstacles; Throughput Optimization

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APA (6th Edition):

Cristaldi, S. (2011). Distributed Algorithms for the Configuration and Management of Wireless Ad-Hoc Networks with Movable Base Stations constrained by Motion and Communication Obstacles. (Thesis). Università degli Studi di Catania. Retrieved from http://hdl.handle.net/10761/185

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):

Cristaldi, Salvatore. “Distributed Algorithms for the Configuration and Management of Wireless Ad-Hoc Networks with Movable Base Stations constrained by Motion and Communication Obstacles.” 2011. Thesis, Università degli Studi di Catania. Accessed March 22, 2019. http://hdl.handle.net/10761/185.

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

MLA Handbook (7th Edition):

Cristaldi, Salvatore. “Distributed Algorithms for the Configuration and Management of Wireless Ad-Hoc Networks with Movable Base Stations constrained by Motion and Communication Obstacles.” 2011. Web. 22 Mar 2019.

Vancouver:

Cristaldi S. Distributed Algorithms for the Configuration and Management of Wireless Ad-Hoc Networks with Movable Base Stations constrained by Motion and Communication Obstacles. [Internet] [Thesis]. Università degli Studi di Catania; 2011. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/10761/185.

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

Council of Science Editors:

Cristaldi S. Distributed Algorithms for the Configuration and Management of Wireless Ad-Hoc Networks with Movable Base Stations constrained by Motion and Communication Obstacles. [Thesis]. Università degli Studi di Catania; 2011. Available from: http://hdl.handle.net/10761/185

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

27. Coletta, Luiz Fernando Sommaggio. Agrupamento de dados fuzzy colaborativo.

Degree: Mestrado, Ciências de Computação e Matemática Computacional, 2011, University of São Paulo

Nas últimas décadas, as técnicas de mineração de dados têm desempenhado um importante papel em diversas áreas do conhecimento humano. Mais recentemente, essas ferramentas têm… (more)

Subjects/Keywords: Agrupamento de dados paralelo e colaborativo; Collaborative and parallel fuzzy clustering; Descoberta de conhecimento distribuído; Distributed knowledge discovery; Índices de validade; Validity indices

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

APA (6th Edition):

Coletta, L. F. S. (2011). Agrupamento de dados fuzzy colaborativo. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07072011-150404/ ;

Chicago Manual of Style (16th Edition):

Coletta, Luiz Fernando Sommaggio. “Agrupamento de dados fuzzy colaborativo.” 2011. Masters Thesis, University of São Paulo. Accessed March 22, 2019. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07072011-150404/ ;.

MLA Handbook (7th Edition):

Coletta, Luiz Fernando Sommaggio. “Agrupamento de dados fuzzy colaborativo.” 2011. Web. 22 Mar 2019.

Vancouver:

Coletta LFS. Agrupamento de dados fuzzy colaborativo. [Internet] [Masters thesis]. University of São Paulo; 2011. [cited 2019 Mar 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07072011-150404/ ;.

Council of Science Editors:

Coletta LFS. Agrupamento de dados fuzzy colaborativo. [Masters Thesis]. University of São Paulo; 2011. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-07072011-150404/ ;


University of Pretoria

28. Kohlmeyer, Eckhard Bernhard. A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks.

Degree: Electrical, Electronic and Computer Engineering, 2009, University of Pretoria

 Recent development has lead to the emergence of distributed Wireless Sensor and Actor Networks (WSAN), which are capable of observing the physical environment, processing the… (more)

Subjects/Keywords: Cross-layering; Wireless sensor actor network; Cross-layer framework; Latency; Preamble sampling; Energy efficient; Medium access control; Data prioritization; Aggregation; Hierarchical routing; Clustering; Distributed control; Network centric; UCTD

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APA (6th Edition):

Kohlmeyer, E. (2009). A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25831

Chicago Manual of Style (16th Edition):

Kohlmeyer, Eckhard. “A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks.” 2009. Masters Thesis, University of Pretoria. Accessed March 22, 2019. http://hdl.handle.net/2263/25831.

MLA Handbook (7th Edition):

Kohlmeyer, Eckhard. “A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks.” 2009. Web. 22 Mar 2019.

Vancouver:

Kohlmeyer E. A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks. [Internet] [Masters thesis]. University of Pretoria; 2009. [cited 2019 Mar 22]. Available from: http://hdl.handle.net/2263/25831.

Council of Science Editors:

Kohlmeyer E. A cross-layer approach for optimizing the efficiency of wireless sensor and actor networks. [Masters Thesis]. University of Pretoria; 2009. Available from: http://hdl.handle.net/2263/25831

29. Ba, Mandicou. Vers une structuration auto-stabilisante des réseaux ad hoc : cas des réseaux de capteurs sans fil : Towards a self-stabilizing structuring of ad hoc networks : the case of wireless sensor networks.

Degree: Docteur es, Sciences - STS, 2014, Reims

Nous proposons un algorithme original de structuration des réseaux ad hoc nommé SDEAC dans le but d'optimiser les communications et de tolérer les pannes transitoires.… (more)

Subjects/Keywords: Systèmes distribués; Réseaux ad hoc; Auto-Stabilisation; Structuration; Économie d'énergie; Tolérance aux pannes; Distributed systems; Ad hoc networks; Self-Stabilizing; Clustering; Energy-Aware; Fault-Tolerant

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

APA (6th Edition):

Ba, M. (2014). Vers une structuration auto-stabilisante des réseaux ad hoc : cas des réseaux de capteurs sans fil : Towards a self-stabilizing structuring of ad hoc networks : the case of wireless sensor networks. (Doctoral Dissertation). Reims. Retrieved from http://www.theses.fr/2014REIMS029

Chicago Manual of Style (16th Edition):

Ba, Mandicou. “Vers une structuration auto-stabilisante des réseaux ad hoc : cas des réseaux de capteurs sans fil : Towards a self-stabilizing structuring of ad hoc networks : the case of wireless sensor networks.” 2014. Doctoral Dissertation, Reims. Accessed March 22, 2019. http://www.theses.fr/2014REIMS029.

MLA Handbook (7th Edition):

Ba, Mandicou. “Vers une structuration auto-stabilisante des réseaux ad hoc : cas des réseaux de capteurs sans fil : Towards a self-stabilizing structuring of ad hoc networks : the case of wireless sensor networks.” 2014. Web. 22 Mar 2019.

Vancouver:

Ba M. Vers une structuration auto-stabilisante des réseaux ad hoc : cas des réseaux de capteurs sans fil : Towards a self-stabilizing structuring of ad hoc networks : the case of wireless sensor networks. [Internet] [Doctoral dissertation]. Reims; 2014. [cited 2019 Mar 22]. Available from: http://www.theses.fr/2014REIMS029.

Council of Science Editors:

Ba M. Vers une structuration auto-stabilisante des réseaux ad hoc : cas des réseaux de capteurs sans fil : Towards a self-stabilizing structuring of ad hoc networks : the case of wireless sensor networks. [Doctoral Dissertation]. Reims; 2014. Available from: http://www.theses.fr/2014REIMS029


University of Oulu

30. Samarakoon, S. (Sumudu). Learning-based methods for resource allocation and interference management in energy-efficient small cell networks.

Degree: 2017, University of Oulu

Abstract Resource allocation and interference management in wireless small cell networks have been areas of key research interest in the past few years. Although a… (more)

Subjects/Keywords: Lyapunov optimization; base station clustering; distributed learning algorithm; mean-field game theory; ultra-dense deployment; Lyapunovin optimointi; hajautettu oppimisalgoritmi; mean-field-peliteoria; tukiasemaklusterit; ultratiheä teknologia

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

APA (6th Edition):

Samarakoon, S. (. (2017). Learning-based methods for resource allocation and interference management in energy-efficient small cell networks. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526216874

Chicago Manual of Style (16th Edition):

Samarakoon, S (Sumudu). “Learning-based methods for resource allocation and interference management in energy-efficient small cell networks.” 2017. Doctoral Dissertation, University of Oulu. Accessed March 22, 2019. http://urn.fi/urn:isbn:9789526216874.

MLA Handbook (7th Edition):

Samarakoon, S (Sumudu). “Learning-based methods for resource allocation and interference management in energy-efficient small cell networks.” 2017. Web. 22 Mar 2019.

Vancouver:

Samarakoon S(. Learning-based methods for resource allocation and interference management in energy-efficient small cell networks. [Internet] [Doctoral dissertation]. University of Oulu; 2017. [cited 2019 Mar 22]. Available from: http://urn.fi/urn:isbn:9789526216874.

Council of Science Editors:

Samarakoon S(. Learning-based methods for resource allocation and interference management in energy-efficient small cell networks. [Doctoral Dissertation]. University of Oulu; 2017. Available from: http://urn.fi/urn:isbn:9789526216874

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