A Wrapper based method to improve the classification accuracy on feature selection in opinion mining using swarm intelligence optimized clustering and minimum spanning tree techniques

dc.contributor.guide	A Suresh
dc.coverage.spatial
dc.creator.researcher	A Kaleemullah
dc.date.accessioned	2023-05-19T05:03:10Z
dc.date.available	2023-05-19T05:03:10Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2017
dc.description.abstract	newline
dc.description.note	4728
dc.format.accompanyingmaterial	DVD
dc.format.dimensions	92mm
dc.format.extent
dc.identifier.uri	http://hdl.handle.net/10603/484275
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Salem
dc.publisher.university	Periyar University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	A Wrapper based method to improve the classification accuracy on feature selection in
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	opinion mining using swarm intelligence optimized clustering and minimum spanning tree techniques
dc.title	A Wrapper based method to improve the classification accuracy on feature selection in opinion mining using swarm intelligence optimized clustering and minimum spanning tree techniques
dc.title.alternative
dc.type.degree	Ph.D.