1. Shodhganga@INFLIBNET
  2. Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
  3. Department of Computer Science & Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/377235
Title: An Enhanced FP Growth based new mining technique for very large datasets in E Commerce
Researcher: Hussain, R Z Inamul
Guide(s): Srivatsa, S K
Keywords: Algorithm
Computer Science
Computer Science Artificial Intelligence
E Commerce
Engineering and Technology
FP Growth
University: Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
Completed Date: 2018
Abstract: 
Pagination: 158 p.
URI: http://hdl.handle.net/10603/377235
Appears in Departments:Department of Computer Science & Engineering

Files in This Item:
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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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