Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/221421
Full metadata record
DC FieldValueLanguage
dc.coverage.spatial200p.
dc.date.accessioned2018-11-26T04:44:14Z-
dc.date.available2018-11-26T04:44:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/221421-
dc.description.abstractnewline
dc.format.extent200p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleFeature Analysis and Recommendation for Online Shopping using Web Mining Techniques
dc.title.alternative
dc.creator.researcherShahab Saquib Sohail
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideJamshed Siddiqui
dc.publisher.placeAligarh
dc.publisher.universityAligarh Muslim University
dc.publisher.institutionDepartment of Computer Science
dc.date.registeredn.d.
dc.date.completed2017
dc.date.awardedn.d.
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
00 title_page.pdfAttached File54.85 kBAdobe PDFView/Open
01 acknowledgment.pdf376.16 kBAdobe PDFView/Open
02 certificate.pdf47.14 kBAdobe PDFView/Open
03 abstract.pdf251.48 kBAdobe PDFView/Open
04 contents.pdf259.32 kBAdobe PDFView/Open
05 list of tables.pdf243.43 kBAdobe PDFView/Open
06 list of figures.pdf150.1 kBAdobe PDFView/Open
07 abbreviation.pdf111.05 kBAdobe PDFView/Open
08 chapter 1.pdf479.81 kBAdobe PDFView/Open
09 chapter 2.pdf1.14 MBAdobe PDFView/Open
10 chapter 3.pdf1.09 MBAdobe PDFView/Open
11 chapter 4.pdf908.21 kBAdobe PDFView/Open
12 chapter 5.pdf1.22 MBAdobe PDFView/Open
13 chapter 6.pdf1.77 MBAdobe PDFView/Open
14 chapter 7.pdf442.29 kBAdobe PDFView/Open
15 references.pdf706.39 kBAdobe PDFView/Open


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