An Efficient Recommendation System To Insinuate The Job Portals To Augment Its Services Using Novel Adaptive Association Rule Mining

dc.contributor.guide	Thangadurai K.
dc.coverage.spatial
dc.creator.researcher	Venkatesan, M
dc.date.accessioned	2022-02-16T09:23:21Z
dc.date.available	2022-02-16T09:23:21Z
dc.date.awarded
dc.date.completed	2017
dc.date.registered	2014
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	133
dc.identifier.uri	http://hdl.handle.net/10603/362799
dc.language	English
dc.publisher.institution	Department of Computer Science and Applications
dc.publisher.place	Tiruchirappalli
dc.publisher.university	Bharathidasan University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Interdisciplinary Applications
dc.subject.keyword	Engineering and Technology
dc.title	An Efficient Recommendation System To Insinuate The Job Portals To Augment Its Services Using Novel Adaptive Association Rule Mining
dc.title.alternative
dc.type.degree	Ph.D.