1. Shodhganga@INFLIBNET
  2. Vinayaka Missions Research Foundation
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/233743
Title: An improved ant colony optimization technique for classification in data mining based on fuzzy
Researcher: Kavitha, S
Guide(s): M, Nithya
Keywords: Ant Colony Optimization Algorithm
Data Mining Process
Engineering and Technology,Computer Science,Computer Science Interdisciplinary Applications
Fuzzy Logic
Heart Disease
University: Vinayaka Missions University
Completed Date: 2017
Abstract: not available
Pagination: 164 p.
URI: http://hdl.handle.net/10603/233743
Appears in Departments:Department of Computer Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File91.9 kBAdobe PDFView/Open
02_declaration.pdf113.88 kBAdobe PDFView/Open
03_certificate.pdf112.63 kBAdobe PDFView/Open
04_acknowledgement.pdf120.37 kBAdobe PDFView/Open
05_contents.pdf521.24 kBAdobe PDFView/Open
06_list of tables and figures.pdf316.79 kBAdobe PDFView/Open
07_abbreviations and symbols.pdf295.15 kBAdobe PDFView/Open
08_abstract.pdf132.56 kBAdobe PDFView/Open
09_chapter 1.pdf521.24 kBAdobe PDFView/Open
10_chapter 2.pdf370.76 kBAdobe PDFView/Open
11_chapter 3.pdf581.55 kBAdobe PDFView/Open
12_chapter 4.pdf630.48 kBAdobe PDFView/Open
13_chapter 5.pdf353.24 kBAdobe PDFView/Open
14_chapter 6.pdf249.54 kBAdobe PDFView/Open
15_references.pdf343.91 kBAdobe PDFView/Open
16_list of publications.pdf254.79 kBAdobe PDFView/Open
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