Data mining approach to classification of sequence data

dc.contributor.guide	Gore, S D
dc.coverage.spatial	Statistics
dc.creator.researcher	Nasrabadi, Maryam Tayefi
dc.date.accessioned	2017-01-24T05:21:23Z
dc.date.available	2017-01-24T05:21:23Z
dc.date.awarded	n.d.
dc.date.completed	2013
dc.date.registered	2010
dc.description.abstract	Abstract not available newline newline
dc.description.note	Bibliography p. 182-203
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	xi, 203P.
dc.identifier.uri	http://hdl.handle.net/10603/126021
dc.language	English
dc.publisher.institution	Department of Statistics
dc.publisher.place	Pune
dc.publisher.university	Savitribai Phule Pune University
dc.relation	No. of references 264
dc.rights	university
dc.source.university	University
dc.subject.keyword	Data mining approach, Clustering algorithms, Principal subsets analysis, Alignment of sequences, Spatial data clustering
dc.title	Data mining approach to classification of sequence data
dc.title.alternative	-
dc.type.degree	Ph.D.