Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/377235
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dc.coverage.spatial
dc.date.accessioned2022-04-29T06:30:33Z-
dc.date.available2022-04-29T06:30:33Z-
dc.identifier.urihttp://hdl.handle.net/10603/377235-
dc.description.abstract
dc.format.extent158 p.
dc.languageEnglish
dc.relationReference p. 147-151
dc.rightsuniversity
dc.titleAn Enhanced FP Growth based new mining technique for very large datasets in E Commerce
dc.title.alternative
dc.creator.researcherHussain, R Z Inamul
dc.subject.keywordAlgorithm
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Artificial Intelligence
dc.subject.keywordE Commerce
dc.subject.keywordEngineering and Technology
dc.subject.keywordFP Growth
dc.description.note
dc.contributor.guideSrivatsa, S K
dc.publisher.placeKanchipuram
dc.publisher.universitySri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered
dc.date.completed2018
dc.date.awarded2018
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.type.degreePh.D.
dc.source.inflibnetINFLIBNET
Appears in Departments:Department of Computer Science & Engineering

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01_title.pdfAttached File211.3 kBAdobe PDFView/Open
02_certificate.pdf4.68 kBAdobe PDFView/Open
03_declaration.pdf4.46 kBAdobe PDFView/Open
04_acknowledgement.pdf5.19 kBAdobe PDFView/Open
05_abstract.pdf5.76 kBAdobe PDFView/Open
06_table of content.pdf33.41 kBAdobe PDFView/Open
07_list of tables.pdf4.01 kBAdobe PDFView/Open
08_list of figures.pdf20.56 kBAdobe PDFView/Open
09_abbreviation.pdf15.82 kBAdobe PDFView/Open
10_chapter 1.pdf244.81 kBAdobe PDFView/Open
11_chapter 2.pdf27.84 kBAdobe PDFView/Open
12_chapter 3.pdf7.92 kBAdobe PDFView/Open
13_chapter 4.pdf150.55 kBAdobe PDFView/Open
14_chapter 5.pdf1.7 MBAdobe PDFView/Open
15_references.pdf27.8 kBAdobe PDFView/Open
16_appendix.pdf2.67 MBAdobe PDFView/Open
17_annexture.pdf304.92 kBAdobe PDFView/Open
18_list of publications.pdf5.13 MBAdobe PDFView/Open
80_recommendation.pdf219.4 kBAdobe PDFView/Open


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