A modified k means clustering and linear regression algorithms to assess quality of bibliometric indices versus citation parameters of journals

dc.contributor.guide	Naidu, M.M.
dc.coverage.spatial	Computer Science Engineering
dc.creator.researcher	Annapurna, B.
dc.date.accessioned	2020-03-26T13:04:12Z
dc.date.available	2020-03-26T13:04:12Z
dc.date.awarded	n.d
dc.date.completed	2018
dc.date.registered	n.d
dc.description.abstract	Available
dc.description.note	References p. 224-228
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	229 p.
dc.identifier.uri	http://hdl.handle.net/10603/286076
dc.language	English
dc.publisher.institution	Department of Computer Science and Engineering
dc.publisher.place	Guntur
dc.publisher.university	Acharya Nagarjuna University
dc.relation	-
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Bibliometric
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Software Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Homogeneity score
dc.subject.keyword	k-means
dc.subject.keyword	m-index
dc.subject.keyword	Regression analysis
dc.title	A modified k means clustering and linear regression algorithms to assess quality of bibliometric indices versus citation parameters of journals
dc.title.alternative	-
dc.type.degree	Ph.D.