Large graph mining approach for cluster analysis to identify critical components within the water distribution system

dc.contributor.guide	Padmaja, Poosapati
dc.coverage.spatial	Information Technology
dc.creator.researcher	Santhi, S V S
dc.date.accessioned	2018-04-13T07:21:27Z
dc.date.available	2018-04-13T07:21:27Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	None
dc.description.note	bibliography given
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	-
dc.identifier.uri	http://hdl.handle.net/10603/200293
dc.language	English
dc.publisher.institution	Department of Information Technology
dc.publisher.place	Visakhapatnam
dc.publisher.university	GITAM University
dc.relation	no. of references 65
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Large graph mining approach
dc.subject.keyword	Water distribution system
dc.title	Large graph mining approach for cluster analysis to identify critical components within the water distribution system
dc.title.alternative	-
dc.type.degree	Ph.D.