Application of graph theory to computer science in big networks for big data

dc.contributor.guideS Sreekanth
dc.coverage.spatial
dc.creator.researcherRama Krishna
dc.date.accessioned2019-01-09T05:04:30Z
dc.date.available2019-01-09T05:04:30Z
dc.date.awarded8-11-2017
dc.date.completed
dc.date.registered18-12-2014
dc.description.abstractThis research Entitled Application of Graph Theory to Computer Science in Big newlineNetwork for Big Data , is a novel and innovative idea of inter-disciplinary, application newlineof Mathematical foundations of Computer Sciences, Graph Theoretic Mining newlineApproach to Computer Science Big Networks for Big Data for Network Analysis newlineregarding Security and Privacy concerns. Major contribution of thesis is formulation newlineof a mathematical graph model using Graph Mining and validated in on newlinevarious compute science case studies and considerable satisfactory empirical results newlinewere obtained for security and privacy metrics. The present research work attempts to newlineapplying Graph Mining Mathematical Model for Big Data Network Analysis for newlinetechnology transfer to extension of Big Data Social Media Analytics. The issues of newlineresearch work are uniformly accommodated in five chapters. In each chapter, the newlineneeds and techniques that are required to achieve objective of research work are well newlinediscussed. newline
dc.description.note
dc.format.accompanyingmaterialDVD
dc.format.dimensions
dc.format.extent
dc.identifier.urihttp://hdl.handle.net/10603/225950
dc.languageEnglish
dc.publisher.institutionDepartment of Mathematics
dc.publisher.placeNoida
dc.publisher.universityNoida International University
dc.relation
dc.rightsuniversity
dc.source.universityUniversity
dc.titleApplication of graph theory to computer science in big networks for big data
dc.title.alternative
dc.type.degreePh.D.

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