Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/508083
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DC FieldValueLanguage
dc.coverage.spatialComputer science and engineering
dc.date.accessioned2023-08-21T11:44:07Z-
dc.date.available2023-08-21T11:44:07Z-
dc.identifier.urihttp://hdl.handle.net/10603/508083-
dc.description.abstractAvailable newline
dc.format.extentXIX, 110
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA study on integrated web mining techniques for predicting users web browsing behaviour
dc.title.alternative
dc.creator.researcherNigam, Rajesh Kumar
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordEngineering and Technology
dc.subject.keywordWeb browsing
dc.subject.keywordWeb mining
dc.description.note
dc.contributor.guideKumawat, Chandikaditya and Shrivastava, Manish
dc.publisher.placeChittorgarh
dc.publisher.universityMewar University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2013
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File253.39 kBAdobe PDFView/Open
02_prelim pages.pdf898.54 kBAdobe PDFView/Open
03_abstract.pdf82.94 kBAdobe PDFView/Open
04_contents.pdf116.63 kBAdobe PDFView/Open
05_chapter 1.pdf507.86 kBAdobe PDFView/Open
06_chapter 2.pdf210.47 kBAdobe PDFView/Open
07_chapter 3.pdf280.87 kBAdobe PDFView/Open
08_chapter 4.pdf271.75 kBAdobe PDFView/Open
09_chapter 5.pdf1.04 MBAdobe PDFView/Open
10_chapter 6.pdf96.89 kBAdobe PDFView/Open
11_annexures.pdf4.46 MBAdobe PDFView/Open
80_recommendation.pdf349.7 kBAdobe PDFView/Open


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