Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/153706
Title: Rough set theory based feature selection in data mining
Researcher: Lukshmi R A
Guide(s): Venkatesan P
Keywords: essential classificatory
extracting laws
global discretization method
University: Manonmaniam Sundaranar University
Completed Date: 2014
Abstract: A feature may have a different discriminatory or predictive power newline
Pagination: xxii, 160
URI: http://hdl.handle.net/10603/153706
Appears in Departments:Department of Mathematics

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01_title.pdfAttached File71.31 kBAdobe PDFView/Open
02_certificate.pdf20.55 kBAdobe PDFView/Open
03_declaration.pdf20.91 kBAdobe PDFView/Open
04_acknowledgement.pdf25.87 kBAdobe PDFView/Open
05_table of content.pdf49.13 kBAdobe PDFView/Open
06_list of table.pdf23.57 kBAdobe PDFView/Open
07_list of figure.pdf23.87 kBAdobe PDFView/Open
08_list of abbreviation.pdf18.57 kBAdobe PDFView/Open
09_preface.pdf19.52 kBAdobe PDFView/Open
10_chapter1.pdf458.28 kBAdobe PDFView/Open
11_chapter2.pdf214.97 kBAdobe PDFView/Open
12_chapter3.pdf919.93 kBAdobe PDFView/Open
13_chapter4.pdf152.81 kBAdobe PDFView/Open
14_chapter5.pdf487.82 kBAdobe PDFView/Open
15_chapter6.pdf45.65 kBAdobe PDFView/Open
16_reference.pdf162.16 kBAdobe PDFView/Open
17_appendix.pdf199.42 kBAdobe PDFView/Open
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