Mining Positive and Negative Association Rules from Large Databases using Hybridized Meta Heuristic Approach and Self Organizing Maps

dc.contributor.guide	Sammulal P
dc.coverage.spatial
dc.creator.researcher	Kishor Peddi
dc.date.accessioned	2025-01-31T05:16:20Z
dc.date.available	2025-01-31T05:16:20Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2011
dc.description.abstract	Attached
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	129pp.
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/618942
dc.language	English
dc.publisher.institution	Faculty of Computer Science and Engineering
dc.publisher.place	Kukatpally
dc.publisher.university	Jawaharlal Nehru Technological University, Hyderabad
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Association Rule Mining
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Data Mining
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Hybridized Meta Heuristic Approach
dc.subject.keyword	Self Organizing Maps
dc.title	Mining Positive and Negative Association Rules from Large Databases using Hybridized Meta Heuristic Approach and Self Organizing Maps
dc.title.alternative
dc.type.degree	Ph.D.