1. Shodhganga@INFLIBNET
  2. Kurukshetra University
  3. Department of Computer Sc. & Appl.
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/237809
Title: A hybrid approach for outlier detection in MANETs using data mining techniques
Researcher: Popli, Renu
Guide(s): Garg, Kanwal
Keywords: Data Mining Techniques
Engineering and Technology,Computer Science,Computer Science Artificial Intelligence
MANET Architecture
Outlier Detection
University: Kurukshetra University
Completed Date: 2018
Abstract: not available
Pagination: 156 p.
URI: http://hdl.handle.net/10603/237809
Appears in Departments:Department of Computer Sc. & Appl.

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01_title.pdfAttached File6.59 kBAdobe PDFView/Open
02_declaration.pdf146.08 kBAdobe PDFView/Open
03_certificate.pdf224.25 kBAdobe PDFView/Open
04_acknowledgement.pdf134.09 kBAdobe PDFView/Open
05_preface.pdf150.65 kBAdobe PDFView/Open
06_list of abbreviations.pdf97.72 kBAdobe PDFView/Open
07_list of figures and tables.pdf132.93 kBAdobe PDFView/Open
08_list of publications.pdf164.12 kBAdobe PDFView/Open
09_list of contents.pdf135.61 kBAdobe PDFView/Open
10_chapter 1.pdf689.49 kBAdobe PDFView/Open
11_chapter 2.pdf459.95 kBAdobe PDFView/Open
12_chapter 3.pdf410.97 kBAdobe PDFView/Open
13_chapter 4.pdf493.69 kBAdobe PDFView/Open
14_chapter 5.pdf1.32 MBAdobe PDFView/Open
15_chapter 6.pdf308.9 kBAdobe PDFView/Open
16_chapter 7.pdf1.4 MBAdobe PDFView/Open
17_chapter 8.pdf165.36 kBAdobe PDFView/Open
18_bibliography.pdf334.61 kBAdobe PDFView/Open
19_appendix.pdf761.3 kBAdobe PDFView/Open
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