Synthesizing of hybrid dimensionality association rule and exceptional patterns with frequency level in multiple data sources

dc.contributor.guide	Kamalakkannan P
dc.coverage.spatial
dc.creator.researcher	Suganthi R
dc.date.accessioned	2019-11-13T12:43:09Z
dc.date.available	2019-11-13T12:43:09Z
dc.date.awarded	22/08/2019
dc.date.completed	2018
dc.date.registered
dc.description.abstract	newline
dc.description.note	Bibliography p (188-196), Appendices
dc.format.accompanyingmaterial	CD
dc.format.dimensions	29 cms
dc.format.extent	196p
dc.identifier.uri	http://hdl.handle.net/10603/262427
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Salem
dc.publisher.university	Periyar University
dc.relation	86
dc.rights	university
dc.source.university	University
dc.subject.keyword	Data Sources
dc.subject.keyword	Engineering and Technology,Computer Science,Computer Science Interdisciplinary Applications
dc.subject.keyword	Frequency
dc.subject.keyword	Hybrid
dc.subject.keyword	Multiple
dc.title	Synthesizing of hybrid dimensionality association rule and exceptional patterns with frequency level in multiple data sources
dc.title.alternative
dc.type.degree	Ph.D.