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You searched for subject:(data partitioning). Showing records 1 – 30 of 73 total matches.

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1. de Oliveira Lima, Derci. Particionamento e escalonamento de matrizes densas para processamento em hardware reconfigurável .

Degree: 2009, Universidade Federal de Pernambuco

 A solução de problemas complexos em várias áreas do conhecimento humano, tais como: análise de investimento no setor bancário, análise e visualização de imagens médicas… (more)

Subjects/Keywords: latencies; Data handling; Partitioning; FPGA

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APA (6th Edition):

de Oliveira Lima, D. (2009). Particionamento e escalonamento de matrizes densas para processamento em hardware reconfigurável . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/2261

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):

de Oliveira Lima, Derci. “Particionamento e escalonamento de matrizes densas para processamento em hardware reconfigurável .” 2009. Thesis, Universidade Federal de Pernambuco. Accessed June 26, 2019. http://repositorio.ufpe.br/handle/123456789/2261.

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

MLA Handbook (7th Edition):

de Oliveira Lima, Derci. “Particionamento e escalonamento de matrizes densas para processamento em hardware reconfigurável .” 2009. Web. 26 Jun 2019.

Vancouver:

de Oliveira Lima D. Particionamento e escalonamento de matrizes densas para processamento em hardware reconfigurável . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2009. [cited 2019 Jun 26]. Available from: http://repositorio.ufpe.br/handle/123456789/2261.

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

Council of Science Editors:

de Oliveira Lima D. Particionamento e escalonamento de matrizes densas para processamento em hardware reconfigurável . [Thesis]. Universidade Federal de Pernambuco; 2009. Available from: http://repositorio.ufpe.br/handle/123456789/2261

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


Delft University of Technology

2. Syed, J.A. Schema-Based Partitioning for Optimized Querying of XML data:.

Degree: 2012, Delft University of Technology

 Efficient querying and retrieval of data from XML databases is a challenging task, especially when these DBs contain a large number of documents, potentially millions… (more)

Subjects/Keywords: query; XML; data partitioning

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APA (6th Edition):

Syed, J. A. (2012). Schema-Based Partitioning for Optimized Querying of XML data:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:313c929c-9543-4037-9fa7-06645e654cf3

Chicago Manual of Style (16th Edition):

Syed, J A. “Schema-Based Partitioning for Optimized Querying of XML data:.” 2012. Masters Thesis, Delft University of Technology. Accessed June 26, 2019. http://resolver.tudelft.nl/uuid:313c929c-9543-4037-9fa7-06645e654cf3.

MLA Handbook (7th Edition):

Syed, J A. “Schema-Based Partitioning for Optimized Querying of XML data:.” 2012. Web. 26 Jun 2019.

Vancouver:

Syed JA. Schema-Based Partitioning for Optimized Querying of XML data:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Jun 26]. Available from: http://resolver.tudelft.nl/uuid:313c929c-9543-4037-9fa7-06645e654cf3.

Council of Science Editors:

Syed JA. Schema-Based Partitioning for Optimized Querying of XML data:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:313c929c-9543-4037-9fa7-06645e654cf3

3. Bozonnet, Simon. Nouveaux points de vue sur la classification hiérarchique et normalisation linguistique pour la segmentation et le regroupement en locuteurs : New insights into hierarchical clustering and linguistic normalization for speaker diarization.

Degree: Docteur es, Signal et Images, 2012, Paris, ENST

Face au volume croissant de données audio et multimédia, les technologies liées à l'indexation de données et à l'analyse de contenu ont suscité beaucoup d'intérêt… (more)

Subjects/Keywords: Partitionnement des données; Segmentation; Data partitioning; Segmentation

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APA (6th Edition):

Bozonnet, S. (2012). Nouveaux points de vue sur la classification hiérarchique et normalisation linguistique pour la segmentation et le regroupement en locuteurs : New insights into hierarchical clustering and linguistic normalization for speaker diarization. (Doctoral Dissertation). Paris, ENST. Retrieved from http://www.theses.fr/2012ENST0019

Chicago Manual of Style (16th Edition):

Bozonnet, Simon. “Nouveaux points de vue sur la classification hiérarchique et normalisation linguistique pour la segmentation et le regroupement en locuteurs : New insights into hierarchical clustering and linguistic normalization for speaker diarization.” 2012. Doctoral Dissertation, Paris, ENST. Accessed June 26, 2019. http://www.theses.fr/2012ENST0019.

MLA Handbook (7th Edition):

Bozonnet, Simon. “Nouveaux points de vue sur la classification hiérarchique et normalisation linguistique pour la segmentation et le regroupement en locuteurs : New insights into hierarchical clustering and linguistic normalization for speaker diarization.” 2012. Web. 26 Jun 2019.

Vancouver:

Bozonnet S. Nouveaux points de vue sur la classification hiérarchique et normalisation linguistique pour la segmentation et le regroupement en locuteurs : New insights into hierarchical clustering and linguistic normalization for speaker diarization. [Internet] [Doctoral dissertation]. Paris, ENST; 2012. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2012ENST0019.

Council of Science Editors:

Bozonnet S. Nouveaux points de vue sur la classification hiérarchique et normalisation linguistique pour la segmentation et le regroupement en locuteurs : New insights into hierarchical clustering and linguistic normalization for speaker diarization. [Doctoral Dissertation]. Paris, ENST; 2012. Available from: http://www.theses.fr/2012ENST0019


University of Alberta

4. Sahoo, Ajit Kumar. A data clustering algorithm for stratified data partitioning in artificial neural network.

Degree: MS, Department of Mechanical Engineering, 2011, University of Alberta

 The statistical properties of training, validation and test data play an important role in assuring optimal performance in artificial neural networks (ANN). Re-searchers have proposed… (more)

Subjects/Keywords: data partitioning; artificial neural network; data clustering algorithm

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APA (6th Edition):

Sahoo, A. K. (2011). A data clustering algorithm for stratified data partitioning in artificial neural network. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/73666484s

Chicago Manual of Style (16th Edition):

Sahoo, Ajit Kumar. “A data clustering algorithm for stratified data partitioning in artificial neural network.” 2011. Masters Thesis, University of Alberta. Accessed June 26, 2019. https://era.library.ualberta.ca/files/73666484s.

MLA Handbook (7th Edition):

Sahoo, Ajit Kumar. “A data clustering algorithm for stratified data partitioning in artificial neural network.” 2011. Web. 26 Jun 2019.

Vancouver:

Sahoo AK. A data clustering algorithm for stratified data partitioning in artificial neural network. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2019 Jun 26]. Available from: https://era.library.ualberta.ca/files/73666484s.

Council of Science Editors:

Sahoo AK. A data clustering algorithm for stratified data partitioning in artificial neural network. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/73666484s


University of Colorado

5. Al-Mutawa, Mohammad. Providing a Better Computing Experience While Preserving Data Privacy Through Hardware, Software and Data Partitioning in Pervasive Computing Environments.

Degree: PhD, Computer Science, 2013, University of Colorado

  Mobile devices, smartphones and tablets, have become an integral part of everyday life, allowing users to be connected and perform all sorts of computing… (more)

Subjects/Keywords: Data Partitioning; Data Privacy; Mobile computing; Pervasive computing; Computer Sciences

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APA (6th Edition):

Al-Mutawa, M. (2013). Providing a Better Computing Experience While Preserving Data Privacy Through Hardware, Software and Data Partitioning in Pervasive Computing Environments. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/72

Chicago Manual of Style (16th Edition):

Al-Mutawa, Mohammad. “Providing a Better Computing Experience While Preserving Data Privacy Through Hardware, Software and Data Partitioning in Pervasive Computing Environments.” 2013. Doctoral Dissertation, University of Colorado. Accessed June 26, 2019. http://scholar.colorado.edu/csci_gradetds/72.

MLA Handbook (7th Edition):

Al-Mutawa, Mohammad. “Providing a Better Computing Experience While Preserving Data Privacy Through Hardware, Software and Data Partitioning in Pervasive Computing Environments.” 2013. Web. 26 Jun 2019.

Vancouver:

Al-Mutawa M. Providing a Better Computing Experience While Preserving Data Privacy Through Hardware, Software and Data Partitioning in Pervasive Computing Environments. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2019 Jun 26]. Available from: http://scholar.colorado.edu/csci_gradetds/72.

Council of Science Editors:

Al-Mutawa M. Providing a Better Computing Experience While Preserving Data Privacy Through Hardware, Software and Data Partitioning in Pervasive Computing Environments. [Doctoral Dissertation]. University of Colorado; 2013. Available from: http://scholar.colorado.edu/csci_gradetds/72


The Ohio State University

6. Agarwal, Khushbu. A partition based approach to approximate tree mining : a memory hierarchy perspective.

Degree: MS, Computer and Information Science, 2007, The Ohio State University

 In the last decade or so, database community is entering a new arena with generation of petabytes of data. In addition to the storage challenges… (more)

Subjects/Keywords: Computer Science; Data Mining; Tree Partitioning; Memory Based Approximation; Data Preprocessing

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APA (6th Edition):

Agarwal, K. (2007). A partition based approach to approximate tree mining : a memory hierarchy perspective. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256

Chicago Manual of Style (16th Edition):

Agarwal, Khushbu. “A partition based approach to approximate tree mining : a memory hierarchy perspective.” 2007. Masters Thesis, The Ohio State University. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256.

MLA Handbook (7th Edition):

Agarwal, Khushbu. “A partition based approach to approximate tree mining : a memory hierarchy perspective.” 2007. Web. 26 Jun 2019.

Vancouver:

Agarwal K. A partition based approach to approximate tree mining : a memory hierarchy perspective. [Internet] [Masters thesis]. The Ohio State University; 2007. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256.

Council of Science Editors:

Agarwal K. A partition based approach to approximate tree mining : a memory hierarchy perspective. [Masters Thesis]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1196284256


University of Illinois – Urbana-Champaign

7. Soltani, Kiumars. A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics.

Degree: PhD, Informatics, 2018, University of Illinois – Urbana-Champaign

 Numerous applications and scientific domains have contributed to tremendous growth of geospatial data during the past several decades. To resolve the volume and velocity of… (more)

Subjects/Keywords: Distributed Computing; CyberGIS; Data-intensive Applications; Spatial Optimization; Data Partitioning

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APA (6th Edition):

Soltani, K. (2018). A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102443

Chicago Manual of Style (16th Edition):

Soltani, Kiumars. “A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 26, 2019. http://hdl.handle.net/2142/102443.

MLA Handbook (7th Edition):

Soltani, Kiumars. “A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics.” 2018. Web. 26 Jun 2019.

Vancouver:

Soltani K. A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2142/102443.

Council of Science Editors:

Soltani K. A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102443


Oklahoma State University

8. Parakh, Abhishek. New Information Dispersal Techniques for Trustworthy Computing.

Degree: Computer Science Department, 2011, Oklahoma State University

 Information dispersal algorithms (IDA) are used for distributed data storage because they simultaneously provide security, reliability and space efficiency, constituting a trustworthy computing framework for… (more)

Subjects/Keywords: cloud computing; data partitioning; data storage security; distributed secure data storage; distributed security

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APA (6th Edition):

Parakh, A. (2011). New Information Dispersal Techniques for Trustworthy Computing. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/6494

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):

Parakh, Abhishek. “New Information Dispersal Techniques for Trustworthy Computing.” 2011. Thesis, Oklahoma State University. Accessed June 26, 2019. http://hdl.handle.net/11244/6494.

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

MLA Handbook (7th Edition):

Parakh, Abhishek. “New Information Dispersal Techniques for Trustworthy Computing.” 2011. Web. 26 Jun 2019.

Vancouver:

Parakh A. New Information Dispersal Techniques for Trustworthy Computing. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/11244/6494.

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

Council of Science Editors:

Parakh A. New Information Dispersal Techniques for Trustworthy Computing. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/6494

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


Penn State University

9. Chatterjee, Anirban. Exploiting Sparsity, Structure, and Geometry for Knowledge Discovery.

Degree: PhD, Computer Science and Engineering, 2011, Penn State University

Data-driven discovery seeks to obtain a computational model of the underlying process using observed data on a large number of variables. Observations can be viewed… (more)

Subjects/Keywords: sparse graph embedding; sparse graph partitioning; data mining; sparse linear solvers

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APA (6th Edition):

Chatterjee, A. (2011). Exploiting Sparsity, Structure, and Geometry for Knowledge Discovery. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12026

Chicago Manual of Style (16th Edition):

Chatterjee, Anirban. “Exploiting Sparsity, Structure, and Geometry for Knowledge Discovery.” 2011. Doctoral Dissertation, Penn State University. Accessed June 26, 2019. https://etda.libraries.psu.edu/catalog/12026.

MLA Handbook (7th Edition):

Chatterjee, Anirban. “Exploiting Sparsity, Structure, and Geometry for Knowledge Discovery.” 2011. Web. 26 Jun 2019.

Vancouver:

Chatterjee A. Exploiting Sparsity, Structure, and Geometry for Knowledge Discovery. [Internet] [Doctoral dissertation]. Penn State University; 2011. [cited 2019 Jun 26]. Available from: https://etda.libraries.psu.edu/catalog/12026.

Council of Science Editors:

Chatterjee A. Exploiting Sparsity, Structure, and Geometry for Knowledge Discovery. [Doctoral Dissertation]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12026


IUPUI

10. Mandal, Aritra. Distributed graph decomposition algorithms on Apache Spark.

Degree: 2018, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Structural analysis and mining of large and complex graphs for describing the characteristics of a vertex or an edge in… (more)

Subjects/Keywords: Graph Mining; Big Data; Apache Spark; Graph Decomposition; Graph Partitioning; Clustering

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APA (6th Edition):

Mandal, A. (2018). Distributed graph decomposition algorithms on Apache Spark. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/16924

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):

Mandal, Aritra. “Distributed graph decomposition algorithms on Apache Spark.” 2018. Thesis, IUPUI. Accessed June 26, 2019. http://hdl.handle.net/1805/16924.

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

MLA Handbook (7th Edition):

Mandal, Aritra. “Distributed graph decomposition algorithms on Apache Spark.” 2018. Web. 26 Jun 2019.

Vancouver:

Mandal A. Distributed graph decomposition algorithms on Apache Spark. [Internet] [Thesis]. IUPUI; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1805/16924.

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

Council of Science Editors:

Mandal A. Distributed graph decomposition algorithms on Apache Spark. [Thesis]. IUPUI; 2018. Available from: http://hdl.handle.net/1805/16924

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


University of Illinois – Urbana-Champaign

11. Vipul Harsh, -. Histogram sort with sampling.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 Standard parallel sorting algorithms like sample sort rely on data partitioning techniques to distribute keys across processors. The sampling cost in sample sort for good… (more)

Subjects/Keywords: Parallel sorting; Data partitioning; Sample sort; Histogram sort

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APA (6th Edition):

Vipul Harsh, -. (2017). Histogram sort with sampling. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98144

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):

Vipul Harsh, -. “Histogram sort with sampling.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed June 26, 2019. http://hdl.handle.net/2142/98144.

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

MLA Handbook (7th Edition):

Vipul Harsh, -. “Histogram sort with sampling.” 2017. Web. 26 Jun 2019.

Vancouver:

Vipul Harsh -. Histogram sort with sampling. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2142/98144.

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

Council of Science Editors:

Vipul Harsh -. Histogram sort with sampling. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98144

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


University of New South Wales

12. Li, Han. Data Partitioning and Placement Mechanisms for Elastic Key-Value Stores.

Degree: Computer Science & Engineering, 2014, University of New South Wales

 Key-Value Stores (KVSs) have become a standard component for many web services and applications due to their inherent scalability, availability, and reliability. Many enterprises are… (more)

Subjects/Keywords: Elasticity; Cloud computing; Key-value store; Data partitioning; Replica placement

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APA (6th Edition):

Li, H. (2014). Data Partitioning and Placement Mechanisms for Elastic Key-Value Stores. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/53543 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12238/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Li, Han. “Data Partitioning and Placement Mechanisms for Elastic Key-Value Stores.” 2014. Doctoral Dissertation, University of New South Wales. Accessed June 26, 2019. http://handle.unsw.edu.au/1959.4/53543 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12238/SOURCE02?view=true.

MLA Handbook (7th Edition):

Li, Han. “Data Partitioning and Placement Mechanisms for Elastic Key-Value Stores.” 2014. Web. 26 Jun 2019.

Vancouver:

Li H. Data Partitioning and Placement Mechanisms for Elastic Key-Value Stores. [Internet] [Doctoral dissertation]. University of New South Wales; 2014. [cited 2019 Jun 26]. Available from: http://handle.unsw.edu.au/1959.4/53543 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12238/SOURCE02?view=true.

Council of Science Editors:

Li H. Data Partitioning and Placement Mechanisms for Elastic Key-Value Stores. [Doctoral Dissertation]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/53543 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:12238/SOURCE02?view=true


Kwame Nkrumah University of Science and Technology

13. Larbey, Ruth Ama Mansa. Distributed Database Architecture for Data Privacy Using Partitioning Algorithm (A Case Study of Social Security and National Insurance Trust).

Degree: 2012, Kwame Nkrumah University of Science and Technology

Over the past three decades, the trend in computing, database, networking and internet technology has enabled the collection of data as well as the access… (more)

Subjects/Keywords: Database; Confidentiality constraints; Singleton constraints; Government legislation; Partitioning algorithm; Data privacy; Distributed architecture; Data subject

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APA (6th Edition):

Larbey, R. A. M. (2012). Distributed Database Architecture for Data Privacy Using Partitioning Algorithm (A Case Study of Social Security and National Insurance Trust). (Thesis). Kwame Nkrumah University of Science and Technology. Retrieved from http://dspace.knust.edu.gh:8080/jspui/handle/123456789/5369

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):

Larbey, Ruth Ama Mansa. “Distributed Database Architecture for Data Privacy Using Partitioning Algorithm (A Case Study of Social Security and National Insurance Trust).” 2012. Thesis, Kwame Nkrumah University of Science and Technology. Accessed June 26, 2019. http://dspace.knust.edu.gh:8080/jspui/handle/123456789/5369.

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

MLA Handbook (7th Edition):

Larbey, Ruth Ama Mansa. “Distributed Database Architecture for Data Privacy Using Partitioning Algorithm (A Case Study of Social Security and National Insurance Trust).” 2012. Web. 26 Jun 2019.

Vancouver:

Larbey RAM. Distributed Database Architecture for Data Privacy Using Partitioning Algorithm (A Case Study of Social Security and National Insurance Trust). [Internet] [Thesis]. Kwame Nkrumah University of Science and Technology; 2012. [cited 2019 Jun 26]. Available from: http://dspace.knust.edu.gh:8080/jspui/handle/123456789/5369.

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

Council of Science Editors:

Larbey RAM. Distributed Database Architecture for Data Privacy Using Partitioning Algorithm (A Case Study of Social Security and National Insurance Trust). [Thesis]. Kwame Nkrumah University of Science and Technology; 2012. Available from: http://dspace.knust.edu.gh:8080/jspui/handle/123456789/5369

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


The Ohio State University

14. Huang, Dachuan. Improving Performance in Data Processing Distributed Systems by Exploiting Data Placement and Partitioning.

Degree: PhD, Computer Science and Engineering, 2017, The Ohio State University

 Our society is experiencing a rapid growth of data amount because of the widelyused mobile devices, sensors, and computers. Most recent estimations show thatevery day… (more)

Subjects/Keywords: Computer Engineering; Computer Science; Performance in Data Processing Distributed Systems, Exploiting Data Placement and Partitioning

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APA (6th Edition):

Huang, D. (2017). Improving Performance in Data Processing Distributed Systems by Exploiting Data Placement and Partitioning. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1483312415041341

Chicago Manual of Style (16th Edition):

Huang, Dachuan. “Improving Performance in Data Processing Distributed Systems by Exploiting Data Placement and Partitioning.” 2017. Doctoral Dissertation, The Ohio State University. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1483312415041341.

MLA Handbook (7th Edition):

Huang, Dachuan. “Improving Performance in Data Processing Distributed Systems by Exploiting Data Placement and Partitioning.” 2017. Web. 26 Jun 2019.

Vancouver:

Huang D. Improving Performance in Data Processing Distributed Systems by Exploiting Data Placement and Partitioning. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1483312415041341.

Council of Science Editors:

Huang D. Improving Performance in Data Processing Distributed Systems by Exploiting Data Placement and Partitioning. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1483312415041341


University of Notre Dame

15. Dinesh Rajan Pandiarajan. Principles for the Design and Operation of Elastic Scientific.

Degree: PhD, Computer Science and Engineering, 2015, University of Notre Dame

  Scientific applications often harness the concurrency in their workloads to par- tition and operate them as independent tasks and achieve reasonable performance. To improve… (more)

Subjects/Keywords: resource allocation; cloud computing; workload partitioning; Elastic applications; concurrent applications; scientific applications; data partitioning; distributed computing

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APA (6th Edition):

Pandiarajan, D. R. (2015). Principles for the Design and Operation of Elastic Scientific. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/kh04dn42580

Chicago Manual of Style (16th Edition):

Pandiarajan, Dinesh Rajan. “Principles for the Design and Operation of Elastic Scientific.” 2015. Doctoral Dissertation, University of Notre Dame. Accessed June 26, 2019. https://curate.nd.edu/show/kh04dn42580.

MLA Handbook (7th Edition):

Pandiarajan, Dinesh Rajan. “Principles for the Design and Operation of Elastic Scientific.” 2015. Web. 26 Jun 2019.

Vancouver:

Pandiarajan DR. Principles for the Design and Operation of Elastic Scientific. [Internet] [Doctoral dissertation]. University of Notre Dame; 2015. [cited 2019 Jun 26]. Available from: https://curate.nd.edu/show/kh04dn42580.

Council of Science Editors:

Pandiarajan DR. Principles for the Design and Operation of Elastic Scientific. [Doctoral Dissertation]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/kh04dn42580

16. Marcu, Ovidiu-Cristian. KerA : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing.

Degree: Docteur es, Informatique, 2018, Rennes, INSA

Le Big Data est maintenant la nouvelle ressource naturelle. Les architectures actuelles des environnements d'analyse des données massives sont constituées de trois couches: les flux… (more)

Subjects/Keywords: Big Data; Streaming; Ingestion; Stockage; Partitionnement dynamique; Données en premier; Big Data; Streaming; Ingestion; Storage; Dynamic partitioning; Data first; 004.5

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APA (6th Edition):

Marcu, O. (2018). KerA : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing. (Doctoral Dissertation). Rennes, INSA. Retrieved from http://www.theses.fr/2018ISAR0028

Chicago Manual of Style (16th Edition):

Marcu, Ovidiu-Cristian. “KerA : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing.” 2018. Doctoral Dissertation, Rennes, INSA. Accessed June 26, 2019. http://www.theses.fr/2018ISAR0028.

MLA Handbook (7th Edition):

Marcu, Ovidiu-Cristian. “KerA : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing.” 2018. Web. 26 Jun 2019.

Vancouver:

Marcu O. KerA : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing. [Internet] [Doctoral dissertation]. Rennes, INSA; 2018. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2018ISAR0028.

Council of Science Editors:

Marcu O. KerA : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : Un Système Unifié d'Ingestion et de Stockage pour le Traitement Efficace du Big Data : KerA : A Unified Ingestion and Storage System for Scalable Big Data Processing. [Doctoral Dissertation]. Rennes, INSA; 2018. Available from: http://www.theses.fr/2018ISAR0028

17. Boukorca, Ahcène. Hypergraphs in the Service of Very Large Scale Query Optimization. Application : Data Warehousing : Les hypergraphes au service de l'optimisation de requêtes à très large échelle. Application : Entrepôt de données.

Degree: Docteur es, Informatique et applications, 2016, Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique

L'apparition du phénomène Big-Data, a conduit à l'arrivée de nouvelles besoins croissants et urgents de partage de données qui a engendré un grand nombre de… (more)

Subjects/Keywords: Conception physique; Fragmentation de données; Vues matérialisées; Physical design; Data partitioning; Materialized views

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APA (6th Edition):

Boukorca, A. (2016). Hypergraphs in the Service of Very Large Scale Query Optimization. Application : Data Warehousing : Les hypergraphes au service de l'optimisation de requêtes à très large échelle. Application : Entrepôt de données. (Doctoral Dissertation). Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique. Retrieved from http://www.theses.fr/2016ESMA0026

Chicago Manual of Style (16th Edition):

Boukorca, Ahcène. “Hypergraphs in the Service of Very Large Scale Query Optimization. Application : Data Warehousing : Les hypergraphes au service de l'optimisation de requêtes à très large échelle. Application : Entrepôt de données.” 2016. Doctoral Dissertation, Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique. Accessed June 26, 2019. http://www.theses.fr/2016ESMA0026.

MLA Handbook (7th Edition):

Boukorca, Ahcène. “Hypergraphs in the Service of Very Large Scale Query Optimization. Application : Data Warehousing : Les hypergraphes au service de l'optimisation de requêtes à très large échelle. Application : Entrepôt de données.” 2016. Web. 26 Jun 2019.

Vancouver:

Boukorca A. Hypergraphs in the Service of Very Large Scale Query Optimization. Application : Data Warehousing : Les hypergraphes au service de l'optimisation de requêtes à très large échelle. Application : Entrepôt de données. [Internet] [Doctoral dissertation]. Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique; 2016. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2016ESMA0026.

Council of Science Editors:

Boukorca A. Hypergraphs in the Service of Very Large Scale Query Optimization. Application : Data Warehousing : Les hypergraphes au service de l'optimisation de requêtes à très large échelle. Application : Entrepôt de données. [Doctoral Dissertation]. Chasseneuil-du-Poitou, Ecole nationale supérieure de mécanique et d'aérotechnique; 2016. Available from: http://www.theses.fr/2016ESMA0026

18. Li, Bo. Real-time Simulation and Rendering of Large-scale Crowd Motion.

Degree: Computer Science and Software Engineering, 2013, University of Canterbury

 Crowd simulations are attracting increasing attention from both academia and the industry field and are implemented across a vast range of applications, from scientific demonstrations… (more)

Subjects/Keywords: Crowd simulation; crowd animation; partitioning algorithms; collision detection; subdivision data structures; bounding volumes

Page 1

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APA (6th Edition):

Li, B. (2013). Real-time Simulation and Rendering of Large-scale Crowd Motion. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/7870

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):

Li, Bo. “Real-time Simulation and Rendering of Large-scale Crowd Motion.” 2013. Thesis, University of Canterbury. Accessed June 26, 2019. http://hdl.handle.net/10092/7870.

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

MLA Handbook (7th Edition):

Li, Bo. “Real-time Simulation and Rendering of Large-scale Crowd Motion.” 2013. Web. 26 Jun 2019.

Vancouver:

Li B. Real-time Simulation and Rendering of Large-scale Crowd Motion. [Internet] [Thesis]. University of Canterbury; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10092/7870.

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

Council of Science Editors:

Li B. Real-time Simulation and Rendering of Large-scale Crowd Motion. [Thesis]. University of Canterbury; 2013. Available from: http://hdl.handle.net/10092/7870

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


Brunel University

19. Ibrahim, Abdulkareem B. Error resilience and concealment in MVC video over wireless networks.

Degree: PhD, 2015, Brunel University

 Multi-view video is capable of presenting a full and accurate depth perception of a scene. The concept of multi-view video is becoming more useful especially… (more)

Subjects/Keywords: 621.382; Multiview video sequence; Multi-layer data partitioning; Transmission over error prone channel; error control

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APA (6th Edition):

Ibrahim, A. B. (2015). Error resilience and concealment in MVC video over wireless networks. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/10484 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642451

Chicago Manual of Style (16th Edition):

Ibrahim, Abdulkareem B. “Error resilience and concealment in MVC video over wireless networks.” 2015. Doctoral Dissertation, Brunel University. Accessed June 26, 2019. http://bura.brunel.ac.uk/handle/2438/10484 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642451.

MLA Handbook (7th Edition):

Ibrahim, Abdulkareem B. “Error resilience and concealment in MVC video over wireless networks.” 2015. Web. 26 Jun 2019.

Vancouver:

Ibrahim AB. Error resilience and concealment in MVC video over wireless networks. [Internet] [Doctoral dissertation]. Brunel University; 2015. [cited 2019 Jun 26]. Available from: http://bura.brunel.ac.uk/handle/2438/10484 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642451.

Council of Science Editors:

Ibrahim AB. Error resilience and concealment in MVC video over wireless networks. [Doctoral Dissertation]. Brunel University; 2015. Available from: http://bura.brunel.ac.uk/handle/2438/10484 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642451

20. Ζαχαρία, Ελισάβετ. Εφαρμογή αλγορίθμων εξόρυξης δεδομένων σε εικόνες.

Degree: 2013, University of Patras

H παρούσα εργασία ασχολείται με τεχνικές εξόρυξης δεδομένων από εικόνες. Παρουσιάζει κάποια βασικά θεωρητικά στοιχεία σχετικά με τις διάφορες μεθόδους, και στη συνέχεια εστιάζει στην… (more)

Subjects/Keywords: Εξόρυξη δεδομένων; Τεχνική DRP; 006.312; Data mining; Dynamic recursive partitioning (DRP) method

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APA (6th Edition):

Ζαχαρία, . (2013). Εφαρμογή αλγορίθμων εξόρυξης δεδομένων σε εικόνες. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/6253

Chicago Manual of Style (16th Edition):

Ζαχαρία, Ελισάβετ. “Εφαρμογή αλγορίθμων εξόρυξης δεδομένων σε εικόνες.” 2013. Masters Thesis, University of Patras. Accessed June 26, 2019. http://hdl.handle.net/10889/6253.

MLA Handbook (7th Edition):

Ζαχαρία, Ελισάβετ. “Εφαρμογή αλγορίθμων εξόρυξης δεδομένων σε εικόνες.” 2013. Web. 26 Jun 2019.

Vancouver:

Ζαχαρία . Εφαρμογή αλγορίθμων εξόρυξης δεδομένων σε εικόνες. [Internet] [Masters thesis]. University of Patras; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10889/6253.

Council of Science Editors:

Ζαχαρία . Εφαρμογή αλγορίθμων εξόρυξης δεδομένων σε εικόνες. [Masters Thesis]. University of Patras; 2013. Available from: http://hdl.handle.net/10889/6253


Linköping University

21. Johansson, Samuel. Machine learning algorithms in a distributed context.

Degree: Computer and Information Science, 2018, Linköping University

  Interest in distributed approaches to machine learning has increased significantly in recent years due to continuously increasing data sizes for training machine learning models.… (more)

Subjects/Keywords: Machine learning; ensemble algorithms; hard data partitioning; decision trees; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Johansson, S. (2018). Machine learning algorithms in a distributed context. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148920

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):

Johansson, Samuel. “Machine learning algorithms in a distributed context.” 2018. Thesis, Linköping University. Accessed June 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148920.

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

MLA Handbook (7th Edition):

Johansson, Samuel. “Machine learning algorithms in a distributed context.” 2018. Web. 26 Jun 2019.

Vancouver:

Johansson S. Machine learning algorithms in a distributed context. [Internet] [Thesis]. Linköping University; 2018. [cited 2019 Jun 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148920.

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

Council of Science Editors:

Johansson S. Machine learning algorithms in a distributed context. [Thesis]. Linköping University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148920

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


University of Houston

22. Raines, Calvin E 1992-. Attribute Selection Using Machine Learning Algorithms for Intrusion Detection.

Degree: Computer Science, Department of, 2018, University of Houston

 As technology progresses, more critical information is being stored on computers. This allows the data to be stored more compactly, and sometimes adds benefits such… (more)

Subjects/Keywords: intrusion detection; machine learning; WUIL; data theft; recursive partitioning; decision tree; deep neural network

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APA (6th Edition):

Raines, C. E. 1. (2018). Attribute Selection Using Machine Learning Algorithms for Intrusion Detection. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3453

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):

Raines, Calvin E 1992-. “Attribute Selection Using Machine Learning Algorithms for Intrusion Detection.” 2018. Thesis, University of Houston. Accessed June 26, 2019. http://hdl.handle.net/10657/3453.

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

MLA Handbook (7th Edition):

Raines, Calvin E 1992-. “Attribute Selection Using Machine Learning Algorithms for Intrusion Detection.” 2018. Web. 26 Jun 2019.

Vancouver:

Raines CE1. Attribute Selection Using Machine Learning Algorithms for Intrusion Detection. [Internet] [Thesis]. University of Houston; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10657/3453.

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

Council of Science Editors:

Raines CE1. Attribute Selection Using Machine Learning Algorithms for Intrusion Detection. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3453

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

23. Jaradat, Ward. On the construction of decentralised service-oriented orchestration systems .

Degree: 2016, University of St. Andrews

 Modern science relies on workflow technology to capture, process, and analyse data obtained from scientific instruments. Scientific workflows are precise descriptions of experiments in which… (more)

Subjects/Keywords: Service-oriented architecture; Decentralised orchestration; Data-centric workflows; Partitioning; Network resource monitoring; Computation placement analysis

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APA (6th Edition):

Jaradat, W. (2016). On the construction of decentralised service-oriented orchestration systems . (Thesis). University of St. Andrews. Retrieved from http://hdl.handle.net/10023/8036

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):

Jaradat, Ward. “On the construction of decentralised service-oriented orchestration systems .” 2016. Thesis, University of St. Andrews. Accessed June 26, 2019. http://hdl.handle.net/10023/8036.

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

MLA Handbook (7th Edition):

Jaradat, Ward. “On the construction of decentralised service-oriented orchestration systems .” 2016. Web. 26 Jun 2019.

Vancouver:

Jaradat W. On the construction of decentralised service-oriented orchestration systems . [Internet] [Thesis]. University of St. Andrews; 2016. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10023/8036.

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

Council of Science Editors:

Jaradat W. On the construction of decentralised service-oriented orchestration systems . [Thesis]. University of St. Andrews; 2016. Available from: http://hdl.handle.net/10023/8036

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


University of Lethbridge

24. University of Lethbridge. Faculty of Arts and Science. Distributed spatial query processing and optimization .

Degree: 2013, University of Lethbridge

 Applications exist today that require the management of distributed spatial data. Since spatial data is more complex than non-spatial data, performing queries on it requires… (more)

Subjects/Keywords: Distributed spatial data; Spatial query processing; GEMBR partitioning and mapping; Dissertations, Academic

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APA (6th Edition):

Science, U. o. L. F. o. A. a. (2013). Distributed spatial query processing and optimization . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/3563

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):

Science, University of Lethbridge. Faculty of Arts and. “Distributed spatial query processing and optimization .” 2013. Thesis, University of Lethbridge. Accessed June 26, 2019. http://hdl.handle.net/10133/3563.

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

MLA Handbook (7th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Distributed spatial query processing and optimization .” 2013. Web. 26 Jun 2019.

Vancouver:

Science UoLFoAa. Distributed spatial query processing and optimization . [Internet] [Thesis]. University of Lethbridge; 2013. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10133/3563.

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

Council of Science Editors:

Science UoLFoAa. Distributed spatial query processing and optimization . [Thesis]. University of Lethbridge; 2013. Available from: http://hdl.handle.net/10133/3563

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


University of South Carolina

25. Kish, Annamaria Victoria. Efficient Partitioning and Allocation of Data for Workflow Compositions.

Degree: PhD, Computer Science and Engineering, 2016, University of South Carolina

  Our aim is to provide efficient partitioning and allocation of data for web service compositions. Web service compositions are represented as partial order database… (more)

Subjects/Keywords: Computer Engineering; Computer Sciences; Engineering; Efficient Partitioning; Allocation of Data; Workflow Compositions

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

APA (6th Edition):

Kish, A. V. (2016). Efficient Partitioning and Allocation of Data for Workflow Compositions. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3824

Chicago Manual of Style (16th Edition):

Kish, Annamaria Victoria. “Efficient Partitioning and Allocation of Data for Workflow Compositions.” 2016. Doctoral Dissertation, University of South Carolina. Accessed June 26, 2019. https://scholarcommons.sc.edu/etd/3824.

MLA Handbook (7th Edition):

Kish, Annamaria Victoria. “Efficient Partitioning and Allocation of Data for Workflow Compositions.” 2016. Web. 26 Jun 2019.

Vancouver:

Kish AV. Efficient Partitioning and Allocation of Data for Workflow Compositions. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Jun 26]. Available from: https://scholarcommons.sc.edu/etd/3824.

Council of Science Editors:

Kish AV. Efficient Partitioning and Allocation of Data for Workflow Compositions. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3824


University of Maine

26. Neville, François. Spatiotemporal Wireless Sensor Network Field Approximation with Multilayer Perceptron Artificial Neural Network Models.

Degree: PhD, Spatial Information Science and Engineering, 2015, University of Maine

  As sensors become increasingly compact and dependable in natural environments, spatially-distributed heterogeneous sensor network systems steadily become more pervasive. However, any environmental monitoring system… (more)

Subjects/Keywords: artificial neural networks; wireless sensor networks; data approximation; spatiotemporal partitioning; data clustering; Numerical Analysis and Scientific Computing; Remote Sensing; Spatial Science

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APA (6th Edition):

Neville, F. (2015). Spatiotemporal Wireless Sensor Network Field Approximation with Multilayer Perceptron Artificial Neural Network Models. (Doctoral Dissertation). University of Maine. Retrieved from https://digitalcommons.library.umaine.edu/etd/2332

Chicago Manual of Style (16th Edition):

Neville, François. “Spatiotemporal Wireless Sensor Network Field Approximation with Multilayer Perceptron Artificial Neural Network Models.” 2015. Doctoral Dissertation, University of Maine. Accessed June 26, 2019. https://digitalcommons.library.umaine.edu/etd/2332.

MLA Handbook (7th Edition):

Neville, François. “Spatiotemporal Wireless Sensor Network Field Approximation with Multilayer Perceptron Artificial Neural Network Models.” 2015. Web. 26 Jun 2019.

Vancouver:

Neville F. Spatiotemporal Wireless Sensor Network Field Approximation with Multilayer Perceptron Artificial Neural Network Models. [Internet] [Doctoral dissertation]. University of Maine; 2015. [cited 2019 Jun 26]. Available from: https://digitalcommons.library.umaine.edu/etd/2332.

Council of Science Editors:

Neville F. Spatiotemporal Wireless Sensor Network Field Approximation with Multilayer Perceptron Artificial Neural Network Models. [Doctoral Dissertation]. University of Maine; 2015. Available from: https://digitalcommons.library.umaine.edu/etd/2332


Carnegie Mellon University

27. Fiterau, Madalina. Discovering Compact and Informative Structures through Data Partitioning.

Degree: 2015, Carnegie Mellon University

 In many practical scenarios, prediction for high-dimensional observations can be accurately performed using only a fraction of the existing features. However, the set of relevant… (more)

Subjects/Keywords: informative projection recovery; cost-based feature selection; ensemble methods; data partitioning; active learning; clinical data analysis

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APA (6th Edition):

Fiterau, M. (2015). Discovering Compact and Informative Structures through Data Partitioning. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/792

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):

Fiterau, Madalina. “Discovering Compact and Informative Structures through Data Partitioning.” 2015. Thesis, Carnegie Mellon University. Accessed June 26, 2019. http://repository.cmu.edu/dissertations/792.

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

MLA Handbook (7th Edition):

Fiterau, Madalina. “Discovering Compact and Informative Structures through Data Partitioning.” 2015. Web. 26 Jun 2019.

Vancouver:

Fiterau M. Discovering Compact and Informative Structures through Data Partitioning. [Internet] [Thesis]. Carnegie Mellon University; 2015. [cited 2019 Jun 26]. Available from: http://repository.cmu.edu/dissertations/792.

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

Council of Science Editors:

Fiterau M. Discovering Compact and Informative Structures through Data Partitioning. [Thesis]. Carnegie Mellon University; 2015. Available from: http://repository.cmu.edu/dissertations/792

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


Texas State University – San Marcos

28. Lindquist, Robert Stephenson. Defragmenting Social Networks.

Degree: MS, Computer Science, 2017, Texas State University – San Marcos

 The scale of Online Social Networks, like Facebook, requires splitting users across many servers; unfortunately, this can spread one user's friends across hundreds of servers,… (more)

Subjects/Keywords: Graph Partitioning; Social Networks; High performance computing; Computer algorithms; Social networks; Big data; Graph theory – Data processing

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APA (6th Edition):

Lindquist, R. S. (2017). Defragmenting Social Networks. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6928

Chicago Manual of Style (16th Edition):

Lindquist, Robert Stephenson. “Defragmenting Social Networks.” 2017. Masters Thesis, Texas State University – San Marcos. Accessed June 26, 2019. https://digital.library.txstate.edu/handle/10877/6928.

MLA Handbook (7th Edition):

Lindquist, Robert Stephenson. “Defragmenting Social Networks.” 2017. Web. 26 Jun 2019.

Vancouver:

Lindquist RS. Defragmenting Social Networks. [Internet] [Masters thesis]. Texas State University – San Marcos; 2017. [cited 2019 Jun 26]. Available from: https://digital.library.txstate.edu/handle/10877/6928.

Council of Science Editors:

Lindquist RS. Defragmenting Social Networks. [Masters Thesis]. Texas State University – San Marcos; 2017. Available from: https://digital.library.txstate.edu/handle/10877/6928


Queensland University of Technology

29. Tsubota, Takahiro. Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network.

Degree: 2014, Queensland University of Technology

 This thesis explored traffic characteristics at the aggregate level for area-wide traffic monitoring of large urban area. It focused on three aspects: understanding a macroscopic… (more)

Subjects/Keywords: Macroscopic Fundamental Diagram; Density estimation; Traffic monitoring; Probe data; Data fusion; CUPRITE; Signalised network; Traffic information provision; Bluetooth; Network partitioning

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

APA (6th Edition):

Tsubota, T. (2014). Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/75539/

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):

Tsubota, Takahiro. “Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network.” 2014. Thesis, Queensland University of Technology. Accessed June 26, 2019. https://eprints.qut.edu.au/75539/.

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

MLA Handbook (7th Edition):

Tsubota, Takahiro. “Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network.” 2014. Web. 26 Jun 2019.

Vancouver:

Tsubota T. Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2019 Jun 26]. Available from: https://eprints.qut.edu.au/75539/.

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

Council of Science Editors:

Tsubota T. Exploring the properties of macroscopic fundamental diagram : analysing Brisbane urban network. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/75539/

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


Brno University of Technology

30. Keclík, David. Návrh změn informačního systému firmy .

Degree: 2011, Brno University of Technology

 Cílem diplomové práce je návrh změn datového skladu ve společnosti. Předmětem této práce bude nejenom analýza, implementace a uplatnění datového skladu, ale také využití pokročilých… (more)

Subjects/Keywords: Datový sklad; dimenzionální model; multidimenzionální model; faktové tabulky; dimenzionální tabulky; partitioning; indexizace; hint; granularita; Oracle; Data warehouse; dimensional model; multidimensional model; fact tables; dimensional tables; partitioning; index; hing; granularity; Oracle

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

APA (6th Edition):

Keclík, D. (2011). Návrh změn informačního systému firmy . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/1186

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):

Keclík, David. “Návrh změn informačního systému firmy .” 2011. Thesis, Brno University of Technology. Accessed June 26, 2019. http://hdl.handle.net/11012/1186.

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

MLA Handbook (7th Edition):

Keclík, David. “Návrh změn informačního systému firmy .” 2011. Web. 26 Jun 2019.

Vancouver:

Keclík D. Návrh změn informačního systému firmy . [Internet] [Thesis]. Brno University of Technology; 2011. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/11012/1186.

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

Council of Science Editors:

Keclík D. Návrh změn informačního systému firmy . [Thesis]. Brno University of Technology; 2011. Available from: http://hdl.handle.net/11012/1186

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

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