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  • 标题:SIAT: ON THE USE OF SIDE INFORMATION FOR MINING TEXT DATA
  • 本地全文:下载
  • 作者:S. Manjula ; K. Kavitha
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2014
  • 卷号:3
  • 期号:11
  • 页码:3966-3969
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:In many text mining applications, side-information is available. The side-information is along with the text documents. It contains different kinds, such as document provenance information, the links in the document, user-access behavior from web logs, or other non-textual attributes which are included into the text document. The attributes may contain a excellent amount of information for clustering purposes. It can be insecure to assimilate side-information into the mining process using in this cases. Because it can either improve the quality of the representation for the mining process, or can add noise to the process. In the proposed system we implement the SIDE INFORMATION ANALYZER TOOL(SIAT) to check the each and every rating manipulation. Its checks either the information is fully or partially viewed. It based on their rating. It also to check whether from same IP address with multiple logins giving rating constantly.
  • 关键词:Mining applications; Side information; ; SIAT.
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