1. Shodhganga@INFLIBNET
  2. Vellore Institute of Technology, Vellore
  3. School of Computing Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/312812
Title: Enhanced Optimal Feature Selection Techniques for Predicting Diabetes Disease
Researcher: Jayashree J
Guide(s): Ananda Kumar S
Keywords: Diabetes Disease
Neural Networks, Optimization.
Optimal Feature Selection Techniques , Classification
University: VIT University
Completed Date: 2020
Abstract: newline
Pagination: 1-120
URI: http://hdl.handle.net/10603/312812
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
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01_title.pdfAttached File50.92 kBAdobe PDFView/Open
02_ declaration and certificate.pdf33.06 kBAdobe PDFView/Open
03_abstract.pdf23.52 kBAdobe PDFView/Open
04_acknowledgment.pdf24.99 kBAdobe PDFView/Open
05_table of contents.pdf26.5 kBAdobe PDFView/Open
06_list of figures.pdf20.7 kBAdobe PDFView/Open
07_list of tables.pdf19.62 kBAdobe PDFView/Open
08_list of terms and abbreviations.pdf22.37 kBAdobe PDFView/Open
09_chapter 1.pdf80.13 kBAdobe PDFView/Open
10_chapter 2.pdf60.63 kBAdobe PDFView/Open
11_chapter 3.pdf332.34 kBAdobe PDFView/Open
12_chapter 4.pdf303.77 kBAdobe PDFView/Open
13_chapter 5.pdf133.66 kBAdobe PDFView/Open
14_chapter 6.pdf151.48 kBAdobe PDFView/Open
15_chapter 7.pdf21.21 kBAdobe PDFView/Open
16_references.pdf44.95 kBAdobe PDFView/Open
17_list of publications.pdf24.89 kBAdobe PDFView/Open
80_recommendation.pdf217.26 kBAdobe PDFView/Open
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