1. Shodhganga@INFLIBNET
  2. Jaypee Institute of Information Technology
  3. Department of Computer Science Engineering and Information Technology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/295019
Title: Analysis and improvement of link prediction techniques in online social networks
Researcher: Gupta, Anand Kumar
Guide(s): Sardana, Neetu
Keywords: Computer Science
Computer Science Information Systems
Engineering and Technology
Link prediction techniques
Social networks
University: Jaypee Institute of Information Technology
Completed Date: 2020
Abstract: file attached
Pagination: 120 p.
URI: http://hdl.handle.net/10603/295019
Appears in Departments:Department of Computer Science Engineering and Information Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File612.44 kBAdobe PDFView/Open
02_table of contents.pdf55.77 kBAdobe PDFView/Open
03_declaration.pdf49.98 kBAdobe PDFView/Open
04_certificate.pdf49.94 kBAdobe PDFView/Open
05_acknowledgement.pdf114.74 kBAdobe PDFView/Open
06_abstract.pdf53.44 kBAdobe PDFView/Open
07_list of acronyms & abbreviations.pdf52.52 kBAdobe PDFView/Open
08_list of symbols, figures & tables.pdf125.48 kBAdobe PDFView/Open
09_chapter1.pdf3.25 MBAdobe PDFView/Open
10_chapter2.pdf185.21 kBAdobe PDFView/Open
11_chapter3.pdf385.77 kBAdobe PDFView/Open
12_chapter4.pdf1.96 MBAdobe PDFView/Open
13_chapter5.pdf1.44 MBAdobe PDFView/Open
14_chapter6.pdf1.32 MBAdobe PDFView/Open
15_references.pdf110 kBAdobe PDFView/Open
16_list of publications.pdf71.07 kBAdobe PDFView/Open
17_synopsis.pdf683.22 kBAdobe PDFView/Open
80_recommendation.pdf711.53 kBAdobe PDFView/Open
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