1. Shodhganga@INFLIBNET
  2. Gauhati University
  3. Department of Computer Science and Application
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/260837
Title: Study and development of data mining techniques for classical and symbolic data
Researcher: Hazarika Irani
Guide(s): Mahanta Anjana Kakoti
Keywords: Engineering and Technology,Computer Science,Computer Science Software Engineering
University: Gauhati University
Completed Date: 
Abstract: newline
Pagination: 232 p
URI: http://hdl.handle.net/10603/260837
Appears in Departments:Department of Computer Science and Application

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File91.95 kBAdobe PDFView/Open
02_certificate.pdf337.87 kBAdobe PDFView/Open
03_declaration.pdf270.85 kBAdobe PDFView/Open
04_acknowledgement.pdf18.44 kBAdobe PDFView/Open
05_list of tables_figures.pdf70.44 kBAdobe PDFView/Open
06_contents.pdf55.72 kBAdobe PDFView/Open
07_abstract.pdf23.11 kBAdobe PDFView/Open
08_chapter 1.pdf143.59 kBAdobe PDFView/Open
09_chapter 2.pdf79.17 kBAdobe PDFView/Open
10_chapter 3.pdf139.12 kBAdobe PDFView/Open
11_chapter 4.pdf193.69 kBAdobe PDFView/Open
12_chapter 5.pdf250.17 kBAdobe PDFView/Open
13_chapter 6.pdf343.96 kBAdobe PDFView/Open
14_chapter 7.pdf228.41 kBAdobe PDFView/Open
15_chapter 8.pdf190.28 kBAdobe PDFView/Open
16_chapter 9.pdf36.88 kBAdobe PDFView/Open
17_references.pdf50.75 kBAdobe PDFView/Open
18_publications.pdf17.45 kBAdobe PDFView/Open
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