Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/26421
Title: Certain investigations on eager and Lazy learning associative classification
Researcher: Syed ibrahim S P
Guide(s): Chandran K R
Keywords: Associative classification
Upload Date: 9-Oct-2014
University: Anna University
Completed Date: 01-02-2013
Abstract: newlineCombining different problem solving methods is a very active research area newlinein data mining Associative classification is a recent and rewarding technique in newlinedata mining that applies the methodology of association rule mining into newlineclassification and achieves higher classification accuracy It is a known fact that newlineassociative classification typically yields a large number of rules If all the newlinegenerated class association rules are used in the classifier then accuracy of the newlineclassifier may be high but the classification process will be slow and timeconsuming newlineHence generating high quality class association rules and constructing newlinethe accurate classifier are indeed a challenging task newline
Pagination: xix, 150p.
URI: http://hdl.handle.net/10603/26421
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf83.3 kBAdobe PDFView/Open
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04_acknowledgement.pdf19.96 kBAdobe PDFView/Open
05_content.pdf77.81 kBAdobe PDFView/Open
06_chapter1.pdf85.99 kBAdobe PDFView/Open
07_chapter2.pdf245.12 kBAdobe PDFView/Open
08_chapter3.pdf145.37 kBAdobe PDFView/Open
09_chapter4.pdf133.63 kBAdobe PDFView/Open
10_chapter5.pdf126.57 kBAdobe PDFView/Open
11_chapter6.pdf110.47 kBAdobe PDFView/Open
12_chapter7.pdf1.88 MBAdobe PDFView/Open
13_reference.pdf204.77 kBAdobe PDFView/Open
14_publication.pdf71.39 kBAdobe PDFView/Open
15_vitae.pdf19.92 kBAdobe PDFView/Open


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