Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/25275
Title: Improved algorithmic techniques for mining and privacy preservation of Frequent itemsets
Researcher: Rajalakshmi, M
Guide(s): Purusothaman T
Keywords: Data mining techniques
Information and Communication engineering
Knowledge Discovery in Databases
Upload Date: 19-Sep-2014
University: Anna University
Completed Date: 01-12-2011
Abstract: It is but natural to have unprecedented advancements and evolution newlinein the field of database technology as it is the need of the hour to have a newlinemassive amount of data stored With a huge amount of data stored in files newlinedatabases and other repositories it is essential to develop powerful means for newlineanalysis and interpretation of such data and for the extraction of interesting newlineknowledge that could help in strategic decision making Data mining newlinetechniques have been extensively used for extracting non trivial information newlinefrom such massive amounts of data It is a powerful technology with great newlinepotential to analyze vital information and an essential step in Knowledge newlineDiscovery in Databases KDD which is the process of identifying valid newlinepotentially useful and ultimately understandable patterns in data It can make newlinea great contribution in many applications such as financial forecast medical newlinediagnosis consumer research marketing e commerce and so on and so forth newlineThis thesis proposes improved methods for mining and privacy preservation newlineof frequent itemsets newline newline
Pagination: xv, 124p.
URI: http://hdl.handle.net/10603/25275
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File39.08 kBAdobe PDFView/Open
02_certificate.pdf830.24 kBAdobe PDFView/Open
03_abstract.pdf14.34 kBAdobe PDFView/Open
04_acknowledgement.pdf6.33 kBAdobe PDFView/Open
05_content.pdf18.93 kBAdobe PDFView/Open
06_chapter1.pdf121.2 kBAdobe PDFView/Open
07_chapter2.pdf95 kBAdobe PDFView/Open
08_chapter3.pdf53.1 kBAdobe PDFView/Open
09_chapter4.pdf99 kBAdobe PDFView/Open
10_chapter5.pdf93.94 kBAdobe PDFView/Open
11_chapter6.pdf9.74 kBAdobe PDFView/Open
12_reference.pdf41.25 kBAdobe PDFView/Open
13_publication.pdf6.32 kBAdobe PDFView/Open
14_vitae.pdf5.74 kBAdobe PDFView/Open


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