Population based multi objective approaches to feature selection in data mining

dc.contributor.guide	Saroj
dc.coverage.spatial	Computer science
dc.creator.researcher	Jyoti
dc.date.accessioned	2019-03-16T09:41:01Z
dc.date.available	2019-03-16T09:41:01Z
dc.date.awarded	n.d.
dc.date.completed	2017
dc.date.registered	n.d.
dc.description.abstract	file attached
dc.description.note	bibliography p.139-147
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	147 p.
dc.identifier.uri	http://hdl.handle.net/10603/232341
dc.language	English
dc.publisher.institution	Department of Computer science and Engineering
dc.publisher.place	Hisar
dc.publisher.university	Guru Jambheshwar University of Science and Technology
dc.relation	no. of references 155
dc.rights	university
dc.source.inflibnet	INFLIBNET
dc.subject.keyword	Data mining
dc.subject.keyword	Data mining algorithms
dc.subject.keyword	Engineering and Technology,Computer Science,Computer Science Software Engineering
dc.title	Population based multi objective approaches to feature selection in data mining
dc.title.alternative	-
dc.type.degree	Ph.D.