文章基本信息

标题：An Effective Use of Meta Information Using Clustering and Classification Techniques for Text Mining: A Survey
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作者：Nitin J.Ghatge ; Poonam D. Lambhate
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：8178-8181
出版社：TechScience Publications
摘要：Aim and the review of this paper is immersed on effective clustering and mining approach with the help of Meta information. Meta information is nothing but information about information. Such information is presented as text documents in many text mining applications which may be different forms, such as document origin information, links in the documents, user access behaviour from web logs, other non textual attributes present into the text documents. Such Meta information can be useful in enhancing the quality of clustering process, but it is difficult to use the relative importance when some information is noisy. In such a case, it can aggravate the quality of the mining process. Therefore, we use an approach which combines classical partitioning algorithms with probabilistic models so that we can create an effective clustering method, so this proposed approach act as solution to maximize the benefits from using meta information.
关键词：Data mining; Data clustering; Meta information;Text mining..