Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/517534
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dc.coverage.spatial
dc.date.accessioned2023-10-12T05:14:40Z-
dc.date.available2023-10-12T05:14:40Z-
dc.identifier.urihttp://hdl.handle.net/10603/517534-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titlePredicting Behavioural Pattern for Potential Customers of Departmental Stores Using a Novel MLRNN Technique
dc.title.alternative
dc.creator.researcherKannan R P
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideArunachalam A S
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File133.2 kBAdobe PDFView/Open
02_prelim pages.pdf515.53 kBAdobe PDFView/Open
03_content.pdf440.12 kBAdobe PDFView/Open
04_abstract.pdf195.33 kBAdobe PDFView/Open
05_chapter 1.pdf1.24 MBAdobe PDFView/Open
06_chapter 2.pdf651.14 kBAdobe PDFView/Open
07_chapter 3.pdf1.54 MBAdobe PDFView/Open
08_chapter 4.pdf2.75 MBAdobe PDFView/Open
09_chapter 5.pdf893.5 kBAdobe PDFView/Open
10_annexures.pdf3.11 MBAdobe PDFView/Open
11_chapter 6.pdf1.01 MBAdobe PDFView/Open
80_recommendation.pdf446.25 kBAdobe PDFView/Open


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