Profiling methodology with reference to customer lifetime value, relationship, satisfaction and behavior using data mining techniques

dc.contributor.guideRajagopalan S Pen_US
dc.coverage.spatialComputer Sciencesen_US
dc.creator.researcherIsakki Alias Devi Pen_US
dc.date.accessioned2013-04-18T06:10:59Z
dc.date.available2013-04-18T06:10:59Z
dc.date.awarded2012en_US
dc.date.completedAugust, 2012en_US
dc.date.issued2013-04-18
dc.date.registered2009en_US
dc.description.abstractNoneen_US
dc.description.noteReferences p. 121-129, Appendix p. 130-150en_US
dc.format.accompanyingmaterialNoneen_US
dc.format.dimensions--en_US
dc.format.extent150p.en_US
dc.identifier.urihttp://hdl.handle.net/10603/8155
dc.languageEnglishen_US
dc.publisher.institutionSchool of Computing Sciencesen_US
dc.publisher.placeChennaien_US
dc.publisher.universityVels Universityen_US
dc.relationNo. of references 100en_US
dc.rightsuniversityen_US
dc.source.inflibnetINFLIBNETen_US
dc.subject.keywordComputer Sciencesen_US
dc.subject.keywordData mining techniquesen_US
dc.titleProfiling methodology with reference to customer lifetime value, relationship, satisfaction and behavior using data mining techniquesen_US
dc.type.degreePh.D.en_US

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