Scalable Algorithms for Mining Dynamic Graphs and Hypergraphs with Applications to Anomaly Detection.

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dc.contributor.advisorNagiza Samatova, Chair
dc.contributor.advisorDennis Bahler, Member
dc.contributor.advisorRanga Vatsavai, Member
dc.contributor.advisorSteffen Heber, Member
dc.contributor.authorRanshous, Stephen Michael
dc.date.accepted2017-12-21
dc.date.accessioned2017-12-23T13:31:41Z
dc.date.available2017-12-23T13:31:41Z
dc.date.defense2017-12-07
dc.date.issued2017-12-07
dc.date.released2017-12-23
dc.date.reviewed2017-12-12
dc.date.submitted2017-12-07
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2018.
dc.identifier.otherdeg7646
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.20/34916
dc.rights
dc.titleScalable Algorithms for Mining Dynamic Graphs and Hypergraphs with Applications to Anomaly Detection.
dcterms.extent1 online resource (xiii, 116 pages) : illustrations

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