parallel selective sampling using relevance vector machine for uncertainty and imbalance data   distribution

dc.contributor.guide	Dr.Viji Vinod
dc.coverage.spatial
dc.creator.researcher	Athitya Kumaraguru M
dc.date.accessioned	2021-10-01T03:56:19Z
dc.date.available	2021-10-01T03:56:19Z
dc.date.awarded	2020
dc.date.completed	2020
dc.date.registered	2015
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	CD
dc.format.dimensions
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/342724
dc.language	English
dc.publisher.institution	Department of Computer Applications
dc.publisher.place	Chennai
dc.publisher.university	Dr. M.G.R. Educational and Research Institute
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	parallel selective sampling using relevance vector machine for uncertainty and imbalance data distribution
dc.title.alternative	PSS, RVM, KDD, Sampling, Big Data, Preprocessing, Classification, Machine Learning, Imbalance, Uncertainty.
dc.type.degree	Ph.D.