Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49100
Title: An ontology based approach for text clustering using association rule mining and must link and cannot link algorithm
Researcher: Dafni rose J
Guide(s): Rene robin C R
Keywords: An ontology
Information and communication engineering
text clustering
Upload Date: 7-Sep-2015
University: Anna University
Completed Date: 01/11/2014
Abstract: Text Mining is the process of extracting useful information from newlineunstructured textual data through the identification and exploration of newlineinteresting patterns This process helps to retrieve meaningful information newlinefrom a natural language text which is unstructured amorphous and cannot be newlinedealt with algorithmically Another term that is similar to text mining is data newlinemining Data mining is defined as extracting patterns from data and text newlinemining is defined as extracting patterns from a text Data mining is newlinecharacterized by the extraction of implicit previously unknown and useful newlineinformation from data whereas in text mining the information to be newlineextracted is clearly and explicitly stated in the text newline newline
Pagination: xix,134p.
URI: http://hdl.handle.net/10603/49100
Appears in Departments:Faculty of Information and Communication Engineering

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02_certificate.pdf8.97 kBAdobe PDFView/Open
03_abstract.pdf14.4 kBAdobe PDFView/Open
04_acknowledgement.pdf8.38 kBAdobe PDFView/Open
05_contents.pdf40.93 kBAdobe PDFView/Open
06_chapter 1.pdf77.48 kBAdobe PDFView/Open
07_chapter 2.pdf172.57 kBAdobe PDFView/Open
08_chapter 3.pdf181.99 kBAdobe PDFView/Open
09_chapter 4.pdf523.77 kBAdobe PDFView/Open
10_chapter 5.pdf1.04 MBAdobe PDFView/Open
11_chapter 6.pdf493.76 kBAdobe PDFView/Open
12_chapter 7.pdf21.67 kBAdobe PDFView/Open
13_references.pdf72.16 kBAdobe PDFView/Open
14_publications.pdf19.92 kBAdobe PDFView/Open
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