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You searched for subject:(Graph analytics). Showing records 1 – 30 of 38 total matches.

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1. Sun, Jiawen. The GraphGrind framework : fast graph analytics on large shared-memory systems.

Degree: PhD, 2018, Queen's University Belfast

 As shared memory systems support terabyte-sized main memory, they provide an opportunity to perform efficient graph analytics on a single machine. Graph analytics is characterised… (more)

Subjects/Keywords: Graph Analytics; Load Imbalance; Memory locality; Graph Partitioning; Graph Ordering; Shared-Memory Systems

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

APA (6th Edition):

Sun, J. (2018). The GraphGrind framework : fast graph analytics on large shared-memory systems. (Doctoral Dissertation). Queen's University Belfast. Retrieved from https://pure.qub.ac.uk/portal/en/theses/the-graphgrind-framework-fast-graph-analytics-on-large-sharedmemory-systems(e1eb006f-3a68-4d05-91fe-961d04b42694).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.741080

Chicago Manual of Style (16th Edition):

Sun, Jiawen. “The GraphGrind framework : fast graph analytics on large shared-memory systems.” 2018. Doctoral Dissertation, Queen's University Belfast. Accessed June 26, 2019. https://pure.qub.ac.uk/portal/en/theses/the-graphgrind-framework-fast-graph-analytics-on-large-sharedmemory-systems(e1eb006f-3a68-4d05-91fe-961d04b42694).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.741080.

MLA Handbook (7th Edition):

Sun, Jiawen. “The GraphGrind framework : fast graph analytics on large shared-memory systems.” 2018. Web. 26 Jun 2019.

Vancouver:

Sun J. The GraphGrind framework : fast graph analytics on large shared-memory systems. [Internet] [Doctoral dissertation]. Queen's University Belfast; 2018. [cited 2019 Jun 26]. Available from: https://pure.qub.ac.uk/portal/en/theses/the-graphgrind-framework-fast-graph-analytics-on-large-sharedmemory-systems(e1eb006f-3a68-4d05-91fe-961d04b42694).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.741080.

Council of Science Editors:

Sun J. The GraphGrind framework : fast graph analytics on large shared-memory systems. [Doctoral Dissertation]. Queen's University Belfast; 2018. Available from: https://pure.qub.ac.uk/portal/en/theses/the-graphgrind-framework-fast-graph-analytics-on-large-sharedmemory-systems(e1eb006f-3a68-4d05-91fe-961d04b42694).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.741080


University of California – Irvine

2. Bu, Yingyi. On Software Infrastructure for Scalable Graph Analytics.

Degree: Computer Science, 2015, University of California – Irvine

 Recently, there is a growing need for distributed graph processing systems that are capable of gracefully scaling to very large datasets. In the mean time,… (more)

Subjects/Keywords: Computer science; Big Data Analytics; Big Graph Analytics; Database Systems; Parallel Data Processing

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APA (6th Edition):

Bu, Y. (2015). On Software Infrastructure for Scalable Graph Analytics. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/7px2636z

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):

Bu, Yingyi. “On Software Infrastructure for Scalable Graph Analytics.” 2015. Thesis, University of California – Irvine. Accessed June 26, 2019. http://www.escholarship.org/uc/item/7px2636z.

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

MLA Handbook (7th Edition):

Bu, Yingyi. “On Software Infrastructure for Scalable Graph Analytics.” 2015. Web. 26 Jun 2019.

Vancouver:

Bu Y. On Software Infrastructure for Scalable Graph Analytics. [Internet] [Thesis]. University of California – Irvine; 2015. [cited 2019 Jun 26]. Available from: http://www.escholarship.org/uc/item/7px2636z.

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

Council of Science Editors:

Bu Y. On Software Infrastructure for Scalable Graph Analytics. [Thesis]. University of California – Irvine; 2015. Available from: http://www.escholarship.org/uc/item/7px2636z

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


The Ohio State University

3. Fuhry, David P. PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.

Degree: PhD, Computer Science and Engineering, 2015, The Ohio State University

 Making sense of, analyzing, and extracting useful information from large and complex data is a grand challenge. A user tasked with meeting this challenge is… (more)

Subjects/Keywords: Computer Science; Network Analytics; Graph Analytics; High-Dimensional Data; Visualization; PLASMA-HD; Graph Growth; Approximate Itemset Mining; Parallel Coordinates

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APA (6th Edition):

Fuhry, D. P. (2015). PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146

Chicago Manual of Style (16th Edition):

Fuhry, David P. “PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.” 2015. Doctoral Dissertation, The Ohio State University. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146.

MLA Handbook (7th Edition):

Fuhry, David P. “PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data.” 2015. Web. 26 Jun 2019.

Vancouver:

Fuhry DP. PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. [Internet] [Doctoral dissertation]. The Ohio State University; 2015. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146.

Council of Science Editors:

Fuhry DP. PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data. [Doctoral Dissertation]. The Ohio State University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1440431146


Georgia Tech

4. Hein, Eric Robert. Near-data processing for dynamic graph analytics.

Degree: PhD, Electrical and Computer Engineering, 2018, Georgia Tech

 Massive data rates in cybersecurity, simulation, and social media analysis applications are driving rapid advances in the field of streaming graph analytics. The data structures… (more)

Subjects/Keywords: Computer architecture; Streaming graph analytics; Graph algorithms; High-performance computing; Near-data processing

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

APA (6th Edition):

Hein, E. R. (2018). Near-data processing for dynamic graph analytics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60228

Chicago Manual of Style (16th Edition):

Hein, Eric Robert. “Near-data processing for dynamic graph analytics.” 2018. Doctoral Dissertation, Georgia Tech. Accessed June 26, 2019. http://hdl.handle.net/1853/60228.

MLA Handbook (7th Edition):

Hein, Eric Robert. “Near-data processing for dynamic graph analytics.” 2018. Web. 26 Jun 2019.

Vancouver:

Hein ER. Near-data processing for dynamic graph analytics. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1853/60228.

Council of Science Editors:

Hein ER. Near-data processing for dynamic graph analytics. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60228

5. [No author]. STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS .

Degree: 2015, Washington State University

 Structural pattern discovery problems, which contain graph isomorphism as a sub-problem, are computationally very hard. The runtime of complete algorithms for discovering structural patterns such… (more)

Subjects/Keywords: Computer science; Data Mining; Data Science; Graph Analytics; Graph Mining; Machine Learning

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APA (6th Edition):

author], [. (2015). STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/6213

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):

author], [No. “STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS .” 2015. Thesis, Washington State University. Accessed June 26, 2019. http://hdl.handle.net/2376/6213.

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

MLA Handbook (7th Edition):

author], [No. “STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS .” 2015. Web. 26 Jun 2019.

Vancouver:

author] [. STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS . [Internet] [Thesis]. Washington State University; 2015. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2376/6213.

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

Council of Science Editors:

author] [. STRUCTURAL PATTERN DISCOVERY IN DYNAMIC GRAPHS . [Thesis]. Washington State University; 2015. Available from: http://hdl.handle.net/2376/6213

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


University of Victoria

6. Popova, Diana. Scalable analytics of massive graphs.

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

 Graphs are commonly selected as a model of scientific information: graphs can successfully represent imprecise, uncertain, noisy data; and graph theory has a well-developed mathematical… (more)

Subjects/Keywords: massive graphs; graph analytics; influence maximization; randomized algorithms; influential communities

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APA (6th Edition):

Popova, D. (2018). Scalable analytics of massive graphs. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/10442

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):

Popova, Diana. “Scalable analytics of massive graphs.” 2018. Thesis, University of Victoria. Accessed June 26, 2019. https://dspace.library.uvic.ca//handle/1828/10442.

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

MLA Handbook (7th Edition):

Popova, Diana. “Scalable analytics of massive graphs.” 2018. Web. 26 Jun 2019.

Vancouver:

Popova D. Scalable analytics of massive graphs. [Internet] [Thesis]. University of Victoria; 2018. [cited 2019 Jun 26]. Available from: https://dspace.library.uvic.ca//handle/1828/10442.

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

Council of Science Editors:

Popova D. Scalable analytics of massive graphs. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/10442

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


Hong Kong University of Science and Technology

7. Wu, Yanhong CSE. On the scalability of large graph visualization.

Degree: 2017, Hong Kong University of Science and Technology

 As a natural representation of data, graph structures exist in many domains such as finance, sociology, biology, and software engineering. Visualization techniques have been widely… (more)

Subjects/Keywords: Information visualization; Data processing; Graph theory; Data mining; Visual analytics

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

APA (6th Edition):

Wu, Y. C. (2017). On the scalability of large graph visualization. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-991012553967403412 ; http://repository.ust.hk/ir/bitstream/1783.1-95163/1/th_redirect.html

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):

Wu, Yanhong CSE. “On the scalability of large graph visualization.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed June 26, 2019. https://doi.org/10.14711/thesis-991012553967403412 ; http://repository.ust.hk/ir/bitstream/1783.1-95163/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wu, Yanhong CSE. “On the scalability of large graph visualization.” 2017. Web. 26 Jun 2019.

Vancouver:

Wu YC. On the scalability of large graph visualization. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2019 Jun 26]. Available from: https://doi.org/10.14711/thesis-991012553967403412 ; http://repository.ust.hk/ir/bitstream/1783.1-95163/1/th_redirect.html.

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

Council of Science Editors:

Wu YC. On the scalability of large graph visualization. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: https://doi.org/10.14711/thesis-991012553967403412 ; http://repository.ust.hk/ir/bitstream/1783.1-95163/1/th_redirect.html

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


Georgia Tech

8. Pienta, Robert S. Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying.

Degree: PhD, Computational Science and Engineering, 2017, Georgia Tech

 Large graphs are now commonplace, amplifying the fundamental challenges of exploring, navigating, and understanding massive data. Our work tackles critical aspects of graph sensemaking, to… (more)

Subjects/Keywords: Visual querying; Visual graph querying; Graph querying; Subgraph matching; Approximate subgraph matching; Graph querying; Graph exploration; Graph navigation; Graph foraging; Graph sensemaking; Subgraph Embedding; Graph Embedding; Dimensionality reduction; Visual analytics; Visualization; Graph visualization

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

APA (6th Edition):

Pienta, R. S. (2017). Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59220

Chicago Manual of Style (16th Edition):

Pienta, Robert S. “Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying.” 2017. Doctoral Dissertation, Georgia Tech. Accessed June 26, 2019. http://hdl.handle.net/1853/59220.

MLA Handbook (7th Edition):

Pienta, Robert S. “Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying.” 2017. Web. 26 Jun 2019.

Vancouver:

Pienta RS. Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1853/59220.

Council of Science Editors:

Pienta RS. Adaptive visual network analytics: Algorithms, interfaces, and systems for exploration and querying. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59220

9. Dasari, Naga Shailaja. High Performance Large Graph Analytics by Enhancing Locality.

Degree: PhD, Computer Science, 2015, Old Dominion University

  Graphs are widely used in a variety of domains for representing entities and their relationship to each other. Graph analytics helps to understand, detect,… (more)

Subjects/Keywords: Graph algorithms; Graph analytics; High performance computing; K-core decomposition; Maximal clique enumeration; Multicore; Computer Sciences

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

APA (6th Edition):

Dasari, N. S. (2015). High Performance Large Graph Analytics by Enhancing Locality. (Doctoral Dissertation). Old Dominion University. Retrieved from 9781339126807 ; https://digitalcommons.odu.edu/computerscience_etds/52

Chicago Manual of Style (16th Edition):

Dasari, Naga Shailaja. “High Performance Large Graph Analytics by Enhancing Locality.” 2015. Doctoral Dissertation, Old Dominion University. Accessed June 26, 2019. 9781339126807 ; https://digitalcommons.odu.edu/computerscience_etds/52.

MLA Handbook (7th Edition):

Dasari, Naga Shailaja. “High Performance Large Graph Analytics by Enhancing Locality.” 2015. Web. 26 Jun 2019.

Vancouver:

Dasari NS. High Performance Large Graph Analytics by Enhancing Locality. [Internet] [Doctoral dissertation]. Old Dominion University; 2015. [cited 2019 Jun 26]. Available from: 9781339126807 ; https://digitalcommons.odu.edu/computerscience_etds/52.

Council of Science Editors:

Dasari NS. High Performance Large Graph Analytics by Enhancing Locality. [Doctoral Dissertation]. Old Dominion University; 2015. Available from: 9781339126807 ; https://digitalcommons.odu.edu/computerscience_etds/52


University of Texas – Austin

10. -3269-6167. Graph analytics and subset selection problems in machine learning.

Degree: Electrical and Computer Engineering, 2018, University of Texas – Austin

 In this dissertation we examine two topics relevant to modern machine learning research: 1) Subgraph counting and 2) High-dimensional subset selection. The former can be… (more)

Subjects/Keywords: Machine learning; Approximation algorithms; Graph analytics; Graph algorithms; Subset selection; Submodular optimization; Weak submodularity; Restricted strong convexity; Streaming algorithms; Interpretability

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APA (6th Edition):

-3269-6167. (2018). Graph analytics and subset selection problems in machine learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68499

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):

-3269-6167. “Graph analytics and subset selection problems in machine learning.” 2018. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/68499.

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):

-3269-6167. “Graph analytics and subset selection problems in machine learning.” 2018. Web. 26 Jun 2019.

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

Vancouver:

-3269-6167. Graph analytics and subset selection problems in machine learning. [Internet] [Thesis]. University of Texas – Austin; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/68499.

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:

-3269-6167. Graph analytics and subset selection problems in machine learning. [Thesis]. University of Texas – Austin; 2018. Available from: http://hdl.handle.net/2152/68499

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


National University of Ireland – Galway

11. Aggarwal, Nitish. Leveraging Wikipedia-based features for entity relatedness and recommendation .

Degree: 2018, National University of Ireland – Galway

 Entities such as people, locations, organizations play a key role in natural language understanding. Most of the approaches that deal with natural language processing tasks,… (more)

Subjects/Keywords: Entity recommendation; Entity relatedness; Knowledge graph; Entity linking; Data analytics; Information technology; Engineering and Informatics

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APA (6th Edition):

Aggarwal, N. (2018). Leveraging Wikipedia-based features for entity relatedness and recommendation . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/7126

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):

Aggarwal, Nitish. “Leveraging Wikipedia-based features for entity relatedness and recommendation .” 2018. Thesis, National University of Ireland – Galway. Accessed June 26, 2019. http://hdl.handle.net/10379/7126.

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

MLA Handbook (7th Edition):

Aggarwal, Nitish. “Leveraging Wikipedia-based features for entity relatedness and recommendation .” 2018. Web. 26 Jun 2019.

Vancouver:

Aggarwal N. Leveraging Wikipedia-based features for entity relatedness and recommendation . [Internet] [Thesis]. National University of Ireland – Galway; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10379/7126.

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

Council of Science Editors:

Aggarwal N. Leveraging Wikipedia-based features for entity relatedness and recommendation . [Thesis]. National University of Ireland – Galway; 2018. Available from: http://hdl.handle.net/10379/7126

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


Carnegie Mellon University

12. Veras, Richard Michael. A Systematic Approach for Obtaining Performance on Matrix-Like Operations.

Degree: 2017, Carnegie Mellon University

 Scientific Computation provides a critical role in the scientific process because it allows us ask complex queries and test predictions that would otherwise be unfeasible… (more)

Subjects/Keywords: Code Generation; Computational Science; Dense Linear Algebra; Graph Analytics; High Performance Computing; Sparse Linear Algebra

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APA (6th Edition):

Veras, R. M. (2017). A Systematic Approach for Obtaining Performance on Matrix-Like Operations. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1011

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):

Veras, Richard Michael. “A Systematic Approach for Obtaining Performance on Matrix-Like Operations.” 2017. Thesis, Carnegie Mellon University. Accessed June 26, 2019. http://repository.cmu.edu/dissertations/1011.

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

MLA Handbook (7th Edition):

Veras, Richard Michael. “A Systematic Approach for Obtaining Performance on Matrix-Like Operations.” 2017. Web. 26 Jun 2019.

Vancouver:

Veras RM. A Systematic Approach for Obtaining Performance on Matrix-Like Operations. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2019 Jun 26]. Available from: http://repository.cmu.edu/dissertations/1011.

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

Council of Science Editors:

Veras RM. A Systematic Approach for Obtaining Performance on Matrix-Like Operations. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1011

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


Georgia Tech

13. Du, Rundong. Nonnegative matrix factorization for text, graph, and hybrid data analytics.

Degree: PhD, Mathematics, 2018, Georgia Tech

 Constrained low rank approximation is a general framework for data analysis, which usually has the advantage of being simple, fast, scalable and domain general. One… (more)

Subjects/Keywords: Constrained low rank approximation; Nonnegative matrix factorization; Data analytics; Content clustering; Graph clustering

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

APA (6th Edition):

Du, R. (2018). Nonnegative matrix factorization for text, graph, and hybrid data analytics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59914

Chicago Manual of Style (16th Edition):

Du, Rundong. “Nonnegative matrix factorization for text, graph, and hybrid data analytics.” 2018. Doctoral Dissertation, Georgia Tech. Accessed June 26, 2019. http://hdl.handle.net/1853/59914.

MLA Handbook (7th Edition):

Du, Rundong. “Nonnegative matrix factorization for text, graph, and hybrid data analytics.” 2018. Web. 26 Jun 2019.

Vancouver:

Du R. Nonnegative matrix factorization for text, graph, and hybrid data analytics. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1853/59914.

Council of Science Editors:

Du R. Nonnegative matrix factorization for text, graph, and hybrid data analytics. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59914

14. Hauptli, Erich Jurg. ProGENitor : an application to guide your career.

Degree: Electrical and Computer Engineering, 2014, University of Texas – Austin

 This report introduces ProGENitor; a system to empower individuals with career advice based on vast amounts of data. Specifically, it develops a machine learning algorithm… (more)

Subjects/Keywords: Graph theory; Analytics; Big data

…3.3 Career Paths . . . . . . . . . . . 3.3.1 Graph Edges . . . . . . . 3.3.2 Vertex Ordering… …40 43 48 51 54 56 58 59 59 60 4.3.3 4.3.4 4.3.5 4.3.6 Career Path Graph . Weka Insights… …Graph . . . . . . . . . . High Level Graph Edge Generation . High Level Vertex Order… …19 21 22 24 28 33 34 35 4.1 4.2 4.3 4.4 4.5 Career Path Graph . . . . . . . Lead… …Architect . . . . . . . . . Modified Career Path Graph . . System Chief Engineer Graph . Platform… 

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APA (6th Edition):

Hauptli, E. J. (2014). ProGENitor : an application to guide your career. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28120

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):

Hauptli, Erich Jurg. “ProGENitor : an application to guide your career.” 2014. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/28120.

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

MLA Handbook (7th Edition):

Hauptli, Erich Jurg. “ProGENitor : an application to guide your career.” 2014. Web. 26 Jun 2019.

Vancouver:

Hauptli EJ. ProGENitor : an application to guide your career. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/28120.

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

Council of Science Editors:

Hauptli EJ. ProGENitor : an application to guide your career. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28120

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


Washington State University

15. [No author]. COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING .

Degree: 2017, Washington State University

 In an era when power constraints and data movement are proving to be significant barriers for high-end computing, manycore architectures offer a low power and… (more)

Subjects/Keywords: Computer engineering; Big Data; Graph Analytics; MapReduce; Network-on-Chip; System-on-Chip; Wireless NoC

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

APA (6th Edition):

author], [. (2017). COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/13038

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):

author], [No. “COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING .” 2017. Thesis, Washington State University. Accessed June 26, 2019. http://hdl.handle.net/2376/13038.

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

MLA Handbook (7th Edition):

author], [No. “COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING .” 2017. Web. 26 Jun 2019.

Vancouver:

author] [. COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING . [Internet] [Thesis]. Washington State University; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2376/13038.

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

Council of Science Editors:

author] [. COLLECTIVE COMMUNICATION-AWARE HIGH PERFORMANCE NETWORK-ON-CHIP ARCHITECTURES FOR BIG DATA PROCESSING . [Thesis]. Washington State University; 2017. Available from: http://hdl.handle.net/2376/13038

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

16. Nyström, Björn. Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event.

Degree: Science and Technology, 2015, Örebro University

The main task of this thesis was to create a software prototype of an analysing tool that would work as a compliment to IT-Maskinens… (more)

Subjects/Keywords: infographics; visualization tool; mobile app analytics; asp.net; mvc; event application; graph; informationsgrafik; visualiseringsverktyg; applikationsanalys; asp.net; mvc; eventapplikation; diagram; Software Engineering; Programvaruteknik

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

APA (6th Edition):

Nyström, B. (2015). Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event. (Thesis). Örebro University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45667

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):

Nyström, Björn. “Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event.” 2015. Thesis, Örebro University. Accessed June 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45667.

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

MLA Handbook (7th Edition):

Nyström, Björn. “Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event.” 2015. Web. 26 Jun 2019.

Vancouver:

Nyström B. Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event. [Internet] [Thesis]. Örebro University; 2015. [cited 2019 Jun 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45667.

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

Council of Science Editors:

Nyström B. Inomhuspositionering och applikationsanalys : Sammanställning och visualisering av relevant data vid event. [Thesis]. Örebro University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45667

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


Georgia Tech

17. Sengupta, Dipanjan. System design principles for heterogeneous resource management and scheduling in accelerator-based systems.

Degree: PhD, Computer Science, 2016, Georgia Tech

 Accelerator-based systems are making rapid inroads into becoming platforms of choice for both high end cloud services and processing irregular applications like real-world graph analytics(more)

Subjects/Keywords: Multi-tenancy; Hierarchical scheduling; Runtime systems; Virtualization; GPU; CUDA; Graph analytics; Big data; Performance optimization; Data movement optimization; Incremental processing

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

APA (6th Edition):

Sengupta, D. (2016). System design principles for heterogeneous resource management and scheduling in accelerator-based systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55607

Chicago Manual of Style (16th Edition):

Sengupta, Dipanjan. “System design principles for heterogeneous resource management and scheduling in accelerator-based systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed June 26, 2019. http://hdl.handle.net/1853/55607.

MLA Handbook (7th Edition):

Sengupta, Dipanjan. “System design principles for heterogeneous resource management and scheduling in accelerator-based systems.” 2016. Web. 26 Jun 2019.

Vancouver:

Sengupta D. System design principles for heterogeneous resource management and scheduling in accelerator-based systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1853/55607.

Council of Science Editors:

Sengupta D. System design principles for heterogeneous resource management and scheduling in accelerator-based systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55607

18. Papailiopoulos, Dimitrios. Distributed large-scale data storage and processing.

Degree: Electrical and Computer Engineering, 2014, University of Texas – Austin

 This thesis makes progress towards the fundamental understanding of heterogeneous and dynamic information systems and the way that we store and process massive data-sets. Reliable… (more)

Subjects/Keywords: Codes for distributed storage; Big-graph analytics

analytics is extracting useful and interpretable information from massive data-sets. A challenge… …1 1.2 Low-rank approximations for intractable large-scale data analytics . 4 1.2.1… …Achievability of the Bound: Random LRCs . . . . . . . . . . . . . . . 61 4.4.1 The flow-graph… …be a graph, a document-term matrix, etc.) can have billions of entries. In the… …data analytics clusters (e.g., the Facebook Analytics Hadoop cluster [88])… 

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

APA (6th Edition):

Papailiopoulos, D. (2014). Distributed large-scale data storage and processing. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/29145

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):

Papailiopoulos, Dimitrios. “Distributed large-scale data storage and processing.” 2014. Thesis, University of Texas – Austin. Accessed June 26, 2019. http://hdl.handle.net/2152/29145.

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

MLA Handbook (7th Edition):

Papailiopoulos, Dimitrios. “Distributed large-scale data storage and processing.” 2014. Web. 26 Jun 2019.

Vancouver:

Papailiopoulos D. Distributed large-scale data storage and processing. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2152/29145.

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

Council of Science Editors:

Papailiopoulos D. Distributed large-scale data storage and processing. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/29145

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

19. Hoque, Imranul. Storage and processing systems for power-law graphs.

Degree: PhD, 0112, 2014, University of Illinois – Urbana-Champaign

 Large graphs abound around us - online social networks, Web graphs, the Internet, citation networks, protein interaction networks, telephone call graphs, peer-to-peer overlay networks, electric… (more)

Subjects/Keywords: Graph; Storage; Analytics; Distributed System; Power-Law

…small amount of resources. We present some examples of graph analytics here. Search engines… …LFGraph1 , which is a distributed graph analytics platform. LFGraph makes graph computations… …system, LFGraph, is the first distributed graph analytics framework to offer low and balanced… …which is the best existing graph analytics framework today. We also showed that LFGraph… …fast, scalable, distributed, in-memory graph analytics engine. The design of Bondhu, a social… 

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

APA (6th Edition):

Hoque, I. (2014). Storage and processing systems for power-law graphs. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/46650

Chicago Manual of Style (16th Edition):

Hoque, Imranul. “Storage and processing systems for power-law graphs.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 26, 2019. http://hdl.handle.net/2142/46650.

MLA Handbook (7th Edition):

Hoque, Imranul. “Storage and processing systems for power-law graphs.” 2014. Web. 26 Jun 2019.

Vancouver:

Hoque I. Storage and processing systems for power-law graphs. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2142/46650.

Council of Science Editors:

Hoque I. Storage and processing systems for power-law graphs. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/46650


Colorado State University

20. Shah, Naman. Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system.

Degree: MS(M.S.), Computer Science, 2017, Colorado State University

 Historically, catastrophe has resulted from large-scale epidemiological outbreaks in livestock populations. Efforts to prepare for these inevitable disasters are critical, and these efforts primarily involve… (more)

Subjects/Keywords: Distributed Analytics; Epidemiological PageRank; NAADSM Influential Analysis; Enhanced Distributed Graph-parallel System; Disease Propagation Network; Extended Apache Spark GraphX

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APA (6th Edition):

Shah, N. (2017). Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/184038

Chicago Manual of Style (16th Edition):

Shah, Naman. “Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system.” 2017. Masters Thesis, Colorado State University. Accessed June 26, 2019. http://hdl.handle.net/10217/184038.

MLA Handbook (7th Edition):

Shah, Naman. “Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system.” 2017. Web. 26 Jun 2019.

Vancouver:

Shah N. Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system. [Internet] [Masters thesis]. Colorado State University; 2017. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10217/184038.

Council of Science Editors:

Shah N. Determining disease outbreak influence from voluminous epidemiology data on enhanced distributed graph-parallel system. [Masters Thesis]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/184038


National University of Ireland – Galway

21. Hromic, Hugo. Methods for defining dynamic online communities and community detection in fast-paced social media streams .

Degree: 2019, National University of Ireland – Galway

 Microblogging social media focuses on fast open real-time communication using short messages between users and their followers. Twitter is currently one of the largest and… (more)

Subjects/Keywords: community detection; empirical evaluation; microblogging; twitter; ground-truth; graph mining; temporal dynamics; methods; Engineering and Informatics; Computer science; Data analytics

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APA (6th Edition):

Hromic, H. (2019). Methods for defining dynamic online communities and community detection in fast-paced social media streams . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/15146

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):

Hromic, Hugo. “Methods for defining dynamic online communities and community detection in fast-paced social media streams .” 2019. Thesis, National University of Ireland – Galway. Accessed June 26, 2019. http://hdl.handle.net/10379/15146.

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

MLA Handbook (7th Edition):

Hromic, Hugo. “Methods for defining dynamic online communities and community detection in fast-paced social media streams .” 2019. Web. 26 Jun 2019.

Vancouver:

Hromic H. Methods for defining dynamic online communities and community detection in fast-paced social media streams . [Internet] [Thesis]. National University of Ireland – Galway; 2019. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10379/15146.

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

Council of Science Editors:

Hromic H. Methods for defining dynamic online communities and community detection in fast-paced social media streams . [Thesis]. National University of Ireland – Galway; 2019. Available from: http://hdl.handle.net/10379/15146

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


University of Saskatchewan

22. Ferdous, Rayhan 1992-. Workflow Provenance: from Modeling to Reporting.

Degree: 2019, University of Saskatchewan

 Workflow provenance is a crucial part of a workflow system as it enables data lineage analysis, error tracking, workflow monitoring, usage pattern discovery, and so… (more)

Subjects/Keywords: Scientific workflow; provenance; log analytics; automated logging; programming model; graph analysis; provenance questions; classification; taxonomy; data visualization; software engineering; software architecture.

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

APA (6th Edition):

Ferdous, R. 1. (2019). Workflow Provenance: from Modeling to Reporting. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/11902

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):

Ferdous, Rayhan 1992-. “Workflow Provenance: from Modeling to Reporting.” 2019. Thesis, University of Saskatchewan. Accessed June 26, 2019. http://hdl.handle.net/10388/11902.

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

MLA Handbook (7th Edition):

Ferdous, Rayhan 1992-. “Workflow Provenance: from Modeling to Reporting.” 2019. Web. 26 Jun 2019.

Vancouver:

Ferdous R1. Workflow Provenance: from Modeling to Reporting. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10388/11902.

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

Council of Science Editors:

Ferdous R1. Workflow Provenance: from Modeling to Reporting. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/11902

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


Rice University

23. Wood, Cynthia Ivette. Clique Generalizations and Related Problems.

Degree: PhD, Engineering, 2016, Rice University

 A large number of real-world problems can be model as optimization problems in graphs. The clique model was introduced to aid the study of network… (more)

Subjects/Keywords: Cliques; Clique Generalizations; k-core; minimum k-core; minimal k-core; k-plex; co-k-plex; cell assembly; k-assembly; memory; graph analytics; graph Algorithms

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APA (6th Edition):

Wood, C. I. (2016). Clique Generalizations and Related Problems. (Doctoral Dissertation). Rice University. Retrieved from http://hdl.handle.net/1911/96187

Chicago Manual of Style (16th Edition):

Wood, Cynthia Ivette. “Clique Generalizations and Related Problems.” 2016. Doctoral Dissertation, Rice University. Accessed June 26, 2019. http://hdl.handle.net/1911/96187.

MLA Handbook (7th Edition):

Wood, Cynthia Ivette. “Clique Generalizations and Related Problems.” 2016. Web. 26 Jun 2019.

Vancouver:

Wood CI. Clique Generalizations and Related Problems. [Internet] [Doctoral dissertation]. Rice University; 2016. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1911/96187.

Council of Science Editors:

Wood CI. Clique Generalizations and Related Problems. [Doctoral Dissertation]. Rice University; 2016. Available from: http://hdl.handle.net/1911/96187


University of Michigan

24. Chen, Pin-Yu. Analysis and Actions on Graph Data.

Degree: PhD, Electrical & Computer Eng PhD, 2016, University of Michigan

 Graphs are commonly used for representing relations between entities and handling data processing in various research fields, especially in social, cyber and physical networks. Many… (more)

Subjects/Keywords: graph data analytics for data science and cyber security; phase transition analysis of community detection and graph clustering; single-layer and multi-layer graphs; graph spectral decomposition and eigenvalue decomposition; node and edge additions and removals; complex network analysis and network science; Computer Science; Electrical Engineering; Engineering

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APA (6th Edition):

Chen, P. (2016). Analysis and Actions on Graph Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135752

Chicago Manual of Style (16th Edition):

Chen, Pin-Yu. “Analysis and Actions on Graph Data.” 2016. Doctoral Dissertation, University of Michigan. Accessed June 26, 2019. http://hdl.handle.net/2027.42/135752.

MLA Handbook (7th Edition):

Chen, Pin-Yu. “Analysis and Actions on Graph Data.” 2016. Web. 26 Jun 2019.

Vancouver:

Chen P. Analysis and Actions on Graph Data. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/2027.42/135752.

Council of Science Editors:

Chen P. Analysis and Actions on Graph Data. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135752


Georgia Tech

25. Green, Oded. High performance computing for irregular algorithms and applications with an emphasis on big data analytics.

Degree: PhD, Computational Science and Engineering, 2014, Georgia Tech

 Irregular algorithms such as graph algorithms, sorting, and sparse matrix multiplication, present numerous programming challenges, including scalability, load balancing, and efficient memory utilization. In this… (more)

Subjects/Keywords: Graph algorithms; Social network analysis; Parallel algorithms; High performance computing; Dynamic data; High performance computing; Big data; Algorithms; Social networks; Visual analytics

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

APA (6th Edition):

Green, O. (2014). High performance computing for irregular algorithms and applications with an emphasis on big data analytics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51860

Chicago Manual of Style (16th Edition):

Green, Oded. “High performance computing for irregular algorithms and applications with an emphasis on big data analytics.” 2014. Doctoral Dissertation, Georgia Tech. Accessed June 26, 2019. http://hdl.handle.net/1853/51860.

MLA Handbook (7th Edition):

Green, Oded. “High performance computing for irregular algorithms and applications with an emphasis on big data analytics.” 2014. Web. 26 Jun 2019.

Vancouver:

Green O. High performance computing for irregular algorithms and applications with an emphasis on big data analytics. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1853/51860.

Council of Science Editors:

Green O. High performance computing for irregular algorithms and applications with an emphasis on big data analytics. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51860

26. Collet, Julien. Exploration of parallel graph-processing algorithms on distributed architectures : Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées.

Degree: Docteur es, Technologies de l'Information et des Systèmes : Unité de recherche Heudyasic (UMR-7253), 2017, Compiègne

 Avec l'explosion du volume de données produites chaque année, les applications du domaine du traitement de graphes ont de plus en plus besoin d'être parallélisées… (more)

Subjects/Keywords: Modèles de programmation; Graph-processing; High-performance data analytics; Parallel and distributed computing; GraphLab; Programming models; Performance monitoring; Big Data; High-performance computing (HPC)

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APA (6th Edition):

Collet, J. (2017). Exploration of parallel graph-processing algorithms on distributed architectures : Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées. (Doctoral Dissertation). Compiègne. Retrieved from http://www.theses.fr/2017COMP2391

Chicago Manual of Style (16th Edition):

Collet, Julien. “Exploration of parallel graph-processing algorithms on distributed architectures : Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées.” 2017. Doctoral Dissertation, Compiègne. Accessed June 26, 2019. http://www.theses.fr/2017COMP2391.

MLA Handbook (7th Edition):

Collet, Julien. “Exploration of parallel graph-processing algorithms on distributed architectures : Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées.” 2017. Web. 26 Jun 2019.

Vancouver:

Collet J. Exploration of parallel graph-processing algorithms on distributed architectures : Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées. [Internet] [Doctoral dissertation]. Compiègne; 2017. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2017COMP2391.

Council of Science Editors:

Collet J. Exploration of parallel graph-processing algorithms on distributed architectures : Exploration d’algorithmes de traitement parallèle de graphes sur architectures distribuées. [Doctoral Dissertation]. Compiègne; 2017. Available from: http://www.theses.fr/2017COMP2391

27. Huang, Xiaoke. USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS.

Degree: PhD, College of Arts and Sciences / Department of Computer Science, 2016, Kent State University

Graph models can represent a variety of data types such as social media, cyber business and security, web, urban networks, and more. They are extensively… (more)

Subjects/Keywords: Computer Science; Information Visualization, Visual Analytics, Graph Model

…Second, we employed a parallel-graph model to enhance visual analytics of the largescale urban… …graph model as a medium between big data and visual analytics. Graph model can be used to… …interact with the graph model in visual analytics interface. For example, a Node-Link chart can… …analytics, and visualization techniques. Unlike existing methods, our approach generates a graph… …Ma, Chong Zhang, and Xinyue Ye, “TrajGraph: 11 A Graph-Based Visual Analytics Approach to… 

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

APA (6th Edition):

Huang, X. (2016). USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS. (Doctoral Dissertation). Kent State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=kent1467738860

Chicago Manual of Style (16th Edition):

Huang, Xiaoke. “USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS.” 2016. Doctoral Dissertation, Kent State University. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1467738860.

MLA Handbook (7th Edition):

Huang, Xiaoke. “USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS.” 2016. Web. 26 Jun 2019.

Vancouver:

Huang X. USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS. [Internet] [Doctoral dissertation]. Kent State University; 2016. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1467738860.

Council of Science Editors:

Huang X. USING GRAPH MODELING IN SEVERAL VISUAL ANALYTIC TASKS. [Doctoral Dissertation]. Kent State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=kent1467738860


Université de Bordeaux I

28. Renoust, Benjamin. Analysis and Visualisation of Edge Entanglement in Multiplex Networks : Analyse et visualisation de l'intrication d'arêtes dans les réseaux multiplex.

Degree: Docteur es, Informatique, 2013, Université de Bordeaux I

Cette thèse présente une nouvelle méthodologie pour analyser des réseaux. Nous développons l'intrication d'un réseau multiplex, qui se matérialise sous forme d'une mesure d'intensité et… (more)

Subjects/Keywords: Graphe; Réseau; Analyse; Visualisation; Multiplex; Analyse visuelle; Analyse de Documents; Analyse de Réseaux Sociaux; Graph; Network; Analysis; Visualization; Multiplex; Visual analytics; Document analysis; Social Network Analysis

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

APA (6th Edition):

Renoust, B. (2013). Analysis and Visualisation of Edge Entanglement in Multiplex Networks : Analyse et visualisation de l'intrication d'arêtes dans les réseaux multiplex. (Doctoral Dissertation). Université de Bordeaux I. Retrieved from http://www.theses.fr/2013BOR14985

Chicago Manual of Style (16th Edition):

Renoust, Benjamin. “Analysis and Visualisation of Edge Entanglement in Multiplex Networks : Analyse et visualisation de l'intrication d'arêtes dans les réseaux multiplex.” 2013. Doctoral Dissertation, Université de Bordeaux I. Accessed June 26, 2019. http://www.theses.fr/2013BOR14985.

MLA Handbook (7th Edition):

Renoust, Benjamin. “Analysis and Visualisation of Edge Entanglement in Multiplex Networks : Analyse et visualisation de l'intrication d'arêtes dans les réseaux multiplex.” 2013. Web. 26 Jun 2019.

Vancouver:

Renoust B. Analysis and Visualisation of Edge Entanglement in Multiplex Networks : Analyse et visualisation de l'intrication d'arêtes dans les réseaux multiplex. [Internet] [Doctoral dissertation]. Université de Bordeaux I; 2013. [cited 2019 Jun 26]. Available from: http://www.theses.fr/2013BOR14985.

Council of Science Editors:

Renoust B. Analysis and Visualisation of Edge Entanglement in Multiplex Networks : Analyse et visualisation de l'intrication d'arêtes dans les réseaux multiplex. [Doctoral Dissertation]. Université de Bordeaux I; 2013. Available from: http://www.theses.fr/2013BOR14985


Queens University

29. Abughofa, Mhd. Dynamic Large-Scale Graph Processing over Data Streams with Community Detection as a Case Study .

Degree: Computing, Queens University

 Processing large graphs provides invaluable insights for the industry and research alike. The applications range from e-commerce, web, and social networking to analyzing gene expressions… (more)

Subjects/Keywords: Big Data; Analytics; Graph Processing; Community Detection; Spark; Stream Processing; Real-time Processing

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

APA (6th Edition):

Abughofa, M. (n.d.). Dynamic Large-Scale Graph Processing over Data Streams with Community Detection as a Case Study . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/24469

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Abughofa, Mhd. “Dynamic Large-Scale Graph Processing over Data Streams with Community Detection as a Case Study .” Thesis, Queens University. Accessed June 26, 2019. http://hdl.handle.net/1974/24469.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Abughofa, Mhd. “Dynamic Large-Scale Graph Processing over Data Streams with Community Detection as a Case Study .” Web. 26 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Abughofa M. Dynamic Large-Scale Graph Processing over Data Streams with Community Detection as a Case Study . [Internet] [Thesis]. Queens University; [cited 2019 Jun 26]. Available from: http://hdl.handle.net/1974/24469.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Abughofa M. Dynamic Large-Scale Graph Processing over Data Streams with Community Detection as a Case Study . [Thesis]. Queens University; Available from: http://hdl.handle.net/1974/24469

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

30. Saad, Kristen M. Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs.

Degree: MSs (Engineering), EECS - System and Control Engineering, 2017, Case Western Reserve University

 With the rise of social media and big data, graph analytics are increasingly being called upon to provide insights based on network connectivity and the… (more)

Subjects/Keywords: Systems Science; percolation centrality; network analysis; graph analytics; bulk synchronous parallel

graph analytics are increasingly being called upon to provide insights based on network… …x29; With the advent of social media, graph analytics in particular are receiving increased… …Graph Analytics Commiserate with the diversity of topics and relationships that graphs can… …represent, graph analytics represent a varied collection of perspectives that answer questions… …2.1.3.1 Common Centrality Measures As graph analytics can vary greatly in aim, mathematical… 

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

APA (6th Edition):

Saad, K. M. (2017). Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case149619082195966

Chicago Manual of Style (16th Edition):

Saad, Kristen M. “Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs.” 2017. Masters Thesis, Case Western Reserve University. Accessed June 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case149619082195966.

MLA Handbook (7th Edition):

Saad, Kristen M. “Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs.” 2017. Web. 26 Jun 2019.

Vancouver:

Saad KM. Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs. [Internet] [Masters thesis]. Case Western Reserve University; 2017. [cited 2019 Jun 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case149619082195966.

Council of Science Editors:

Saad KM. Bulk Synchronous Parallel Implementation of Percolation Centrality for Large Scale Graphs. [Masters Thesis]. Case Western Reserve University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case149619082195966

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