Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/30952
Title: Synthesizing global association rules in multi database mining
Researcher: Ramkumar T
Guide(s): Srinivasan R
Keywords: multi database
science and humanities
Synthesizing
Upload Date: 17-Dec-2014
University: Anna University
Completed Date: 01/05/2010
Abstract: Advances in information and communication technologies demand newlinevarious new perceptions in industrial growth and business activities In newlinepractice the required data for corporate decisions are spread over multiple newlinebranches which are physically located in different regions In such situations newlinetraditional data mining techniques based on data warehousing have serious newlinelimitations like high investment on software hardware and difficulties in newlinefinding the individuality of local patterns apart from the necessity of moving newlinehuge quantity of data to the central data warehouse The problem could be newlineovercome by using MultiDatabase mining based on local pattern analysis newlinePatterns can be discovered using various data mining functionalities in which newlineassociation analysis receives significant attention in the KDD community newline newline
Pagination: xx, 153p.
URI: http://hdl.handle.net/10603/30952
Appears in Departments:Faculty of Science and Humanities

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02_certificate.pdf5.82 kBAdobe PDFView/Open
03_abstract.pdf12.62 kBAdobe PDFView/Open
04_acknowledgement.pdf6.97 kBAdobe PDFView/Open
05_contents.pdf37.52 kBAdobe PDFView/Open
06_chapter 1.pdf70.55 kBAdobe PDFView/Open
07_chapter 2.pdf64.15 kBAdobe PDFView/Open
08_chapter 3.pdf191.48 kBAdobe PDFView/Open
09_chapter 4.pdf196.65 kBAdobe PDFView/Open
10_chapter 5.pdf130.55 kBAdobe PDFView/Open
11_chapter 6.pdf567.44 kBAdobe PDFView/Open
12_chapter 7.pdf41.19 kBAdobe PDFView/Open
13_references.pdf36.24 kBAdobe PDFView/Open
14_publications.pdf6.36 kBAdobe PDFView/Open
15_vitae.pdf7.12 kBAdobe PDFView/Open
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