Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/166341
Title: Development of Utility Based Improved Association Rule Mining Algorithm
Researcher: Karpagam K
Guide(s): Balasubramanian R
Keywords: Rule mining, Algorithm
University: Mother Teresa Womens University
Completed Date: 12.08.2016
Abstract: The advent of internet has changed the entire business perspective and most of the business firms primarily depend on the copious digital data available on the net. Mining interesting data related to utilities based on profit and business growth is an ever evolving area and of late utility mining cater to the need of the business houses largely. The most significant tasks in data mining are the process of discovering frequent item sets based on utilities. Incorporating utility considerations in data mining tasks is attaining popularity and admiration recently. It is quite evident that association rules enhance and augment the business value and the data mining groups has approved the mining of these rules of interest. Several business applications have been found to benefit from the discovery of frequent item sets and association rules from transaction databases. A comprehensive survey and study of various methods in existence for association rule mining with utility considerations have been presented and compared in this thesis and a new algorithm named Improved Utility Mining Algorithm , an association rule based utility mining algorithm with superior pruning techniques that restricts the search space, uses very little memory, faster execution speed and less computational costs is proposed and developed in this research work. newline
Pagination: xix, 223p.
URI: http://hdl.handle.net/10603/166341
Appears in Departments:Department of Computer Science

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01_title.pdfAttached File34.27 kBAdobe PDFView/Open
02_certificate.pdf5.12 MBAdobe PDFView/Open
03_abstract.pdf14.46 kBAdobe PDFView/Open
04_declaration.pdf5.8 MBAdobe PDFView/Open
05_acknowledgements.pdf20.22 kBAdobe PDFView/Open
06_contents.pdf62.83 kBAdobe PDFView/Open
07_list of tables.pdf61.78 kBAdobe PDFView/Open
08_list of figures.pdf66.76 kBAdobe PDFView/Open
09_abbreviations.pdf35.1 kBAdobe PDFView/Open
10_chapter1.pdf158.48 kBAdobe PDFView/Open
11_chapter2.pdf425.68 kBAdobe PDFView/Open
12_chapter3.pdf517.12 kBAdobe PDFView/Open
13_chapter4.pdf473.79 kBAdobe PDFView/Open
14_chapter5.pdf618.99 kBAdobe PDFView/Open
15_chapter6.pdf529.85 kBAdobe PDFView/Open
16_chapter7.pdf595.36 kBAdobe PDFView/Open
17_chapter8.pdf375.8 kBAdobe PDFView/Open
18_conclusion.pdf55.02 kBAdobe PDFView/Open
19_bibliography.pdf107.42 kBAdobe PDFView/Open


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