PPT-Graph-based Analytics
Author : faustina-dinatale | Published Date : 2016-03-23
Wei Wang Department of Computer Science Scalable Analytics Institute UCLA weiwangcsuclaedu GraphsNetworks FFSM ICDM03 SPIN KDD04 GDIndex ICDE07 MotifMining PSB04
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Graph-based Analytics: Transcript
Wei Wang Department of Computer Science Scalable Analytics Institute UCLA weiwangcsuclaedu GraphsNetworks FFSM ICDM03 SPIN KDD04 GDIndex ICDE07 MotifMining PSB04 RECOMB04 ProteinScience06 SSDBM07 BIBM08. Anand Tripathi, Vinit Padhye, . Tara Sasank Sunkara. Department of Computer Science. University of Minnesota. . Presentation by . Tara Sasank Sunkara. eBay Inc.. Acknowledgements:. This work was partly supported by NSF award 1319333. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Sparsification for Graph Clustering. Peixiang Zhao. Department of Computer Science. Florida State University. zhao@cs.fsu.edu. Synopsis. Introduction. gSparsify. : Graph motif based sparsification. Cluster significance. Arend Rensink, University of Twente. CamPaM 2012. April 2012. Graph-Based State Spaces. April 2012. Graph-Based State Spaces. 2. Graph Transformation. Formal language to capture dynamic system behaviour. David M. Levine, Baruch College—CUNY. Kathryn A. Szabat, La Salle University. David F. Stephan, Two Bridges Instructional Technology. analytics.davidlevinestatistics.com. DSI . MSMESB session, November 16, 2013. GraphBLAS. Jeremy Kepner, Vijay . Gadepally. , Ben Miller. 2014 December. This material is based upon work supported by the National Science Foundation under Grant No. DMS-. 1312831.. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.. Using . a Data . Lake and Spark. PRESENTED BY. Joe Caserta. #. HUAnalytics. @. joe_caserta. March 9. th. , 2017. . Data Analytics Summit III. Caserta Timeline. Launched . Big Data . practice . Jeremy Kepner, Vijay . Gadepally. , Ben Miller. 2014 December. This material is based upon work supported by the National Science Foundation under Grant No. DMS-. 1312831.. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.. Steve Peschka. Sr. . Principal . Architect. Microsoft Corporation. The Analytics Platform replaces the Web Analytics service application. Some of the reasons for that included:. There was no concept of item-to-item . James Pick and Namchul Shin. 1. Definition of Spatial Big Data. Big Data . are “data sets that are so big they cannot be handled efficiently by common database management systems” (Dasgupta, 2013).. Our SAS: VA Success Story. This seminar will begin at 1:00pm (EST). Audio for this meeting will be broadcasted through your PC speakers. . Please use the . Webex. Chat function to contact Rebecca Gill (HOST), if you are experiencing technical difficulties or if you have a question.. B. . Aditya. . Prakash. Carnegie Mellon University. . Virginia Tech. . Christos Faloutsos. Carnegie Mellon University. Graph Analytics wkshp. B. A. Prakash; C. Faloutsos. From: VLDB’12 tutorial. Arijit. Khan, Nan Li, . Xifeng. Yan, . Ziyu. Guan. Computer Science . UC Santa Barbara. {. arijitkhan. , . nanli. , . xyan. , . ziyuguan. }@. cs.ucsb.edu. . Supriyo. Chakraborty. UC Los Angeles. Mahbod Afarin Chao Gao. Nael Abu-. Ghazaleh. Rajiv Gupta. ASPLOS’23. Evolving graph analytics. Use of temporal contact graphs to understand the evolution of COVID-19 through contact tracing data, Nature Communication Physics, Nov. ‘22.
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