期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2011
卷号：1
期号：3-2
出版社：Seventh Sense Research Group
摘要：— Web text mining is an important branch in the data mining. Text mining is the process of searching large volumes of documents from certain keywords or key phrases. An extension of text mining is web mining. Web mining is an exciting new field that integrates data and text mining within a website. It enhances the web site with intelligent behavior, such as suggesting related links or recommending new products to the consumer. One of tbe data mining activities which involve extracting meaningful new information from the data is classification & clustering technique. Clustering enables one to discover hidden similarity and key concepts. Any clustering technique relies on concepts such as a data representation model, a similarity measure, a cluster model, a clustering algorithm. The classification technique is a kind of data analysis form, which can be used to gather and describe important data set. This method is used to estimate the Categorical Label of data object. The objective of this paper is to provide a new Web Text Mining Model which include query directed web page clustering algorithm & vector space model.
