Prediction of knowledge patterns in human brain connectome and neuroimage data through image processing and data mining techniques

dc.contributor.guide	Ramani, R Geetha
dc.coverage.spatial	Information and Communication Engineering
dc.creator.researcher	K, Sivaselvi
dc.date.accessioned	2019-03-19T06:10:57Z
dc.date.available	2019-03-19T06:10:57Z
dc.date.awarded	n.d.
dc.date.completed	2018
dc.date.registered	n.d.
dc.description.abstract	Abstract available
dc.description.note	Data not available
dc.format.accompanyingmaterial	None
dc.format.dimensions	30cm.
dc.format.extent	xxvi, 268p.
dc.identifier.uri	http://hdl.handle.net/10603/232862
dc.language	Others
dc.publisher.institution	Faculty of Information and Communication Engineering
dc.publisher.place	Chennai
dc.publisher.university	Anna University
dc.relation	239-266
dc.rights	university
dc.source.university	University
dc.subject.keyword	Connectome
dc.subject.keyword	Neuroimage
dc.subject.keyword	Non-HubKinless
dc.subject.keyword	Rs-Fmri
dc.subject.keyword	Schizophrenia
dc.title	Prediction of knowledge patterns in human brain connectome and neuroimage data through image processing and data mining techniques
dc.title.alternative
dc.type.degree	Ph.D.