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Title: Intelligent optimization techniques for fuzzy logic based data Classification
Researcher: Rani, C
Guide(s): Deepa, S N
Keywords: Data Mining
Genetic Algorithm
Medical Diagnosis
Upload Date: 22-Sep-2014
University: Anna University
Completed Date: 01-01-2012
Abstract: Classification is one of the important characteristics of Data Mining newlineconcepts that aims at building a classifier model for describing the important newlinedata classes and provides a better understanding of data at large Mostly newlineEngineering domains which includes Pattern Recognition Image Processing newlineGeo statistics Computer Networks Fault Detection Medical Diagnosis Bioinformatics newlineand so on involves data classification newlineGenetic Algorithm GA is proposed as a tool for the optimal design of newlinefuzzy classifier model The conventional Binary coded GA has Hamming newlinecliff problem which sometimes cause difficulties when coding continuous newlinevariables Also for discrete variables with total number of permissible newlinechoices not equal to 2k it becomes difficult to use a fixed length binary newlinecoding to represent all permissible values To address these issues Realcoded newlineGA RGA using Tournament selection BLX and#945; crossover and Nonuniform newlinemutation is proposed to design the fuzzy classifier newline newline
Pagination: xvii, 120p.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File36.46 kBAdobe PDFView/Open
02_certificate.pdf5.81 kBAdobe PDFView/Open
03_abstract.pdf19.69 kBAdobe PDFView/Open
04_acknowledgment.pdf6.58 kBAdobe PDFView/Open
05_content.pdf26.64 kBAdobe PDFView/Open
06_chapter1.pdf52.19 kBAdobe PDFView/Open
07_chapter2.pdf79.05 kBAdobe PDFView/Open
08_chapter3.pdf159.38 kBAdobe PDFView/Open
09_chapter4.pdf99.59 kBAdobe PDFView/Open
10_chapter5.pdf116.05 kBAdobe PDFView/Open
11_chapter6.pdf700 kBAdobe PDFView/Open
12_chapter7.pdf25.27 kBAdobe PDFView/Open
13_appendix.pdf28.97 kBAdobe PDFView/Open
14_reference.pdf39.77 kBAdobe PDFView/Open
15_publication.pdf10.65 kBAdobe PDFView/Open
16_vitae.pdf6.53 kBAdobe PDFView/Open

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