Text is most used means for information exchange in today’s web dominated world. Text Mining also known as text data mining, an equivalent of text analytic, means the process of retrieving high quality information from text. Statistical pattern learning helps to devise patterns and trends through which high quality information is derived. Text mining accomplishes the task of structuring the inp...

XML has gained popularity for information representation, exchange and retrieval. As XML material becomes more abundant, its heterogeneity and structural irregularity limit the knowledge that can be gained. The utilisation of data mining techniques becomes essential for improvement in XML document handling. This chapter presents the capabilities and benefits of data mining techniques in the XML...

Web Usage Mining (WUM) aims to extract navigation usage patterns from Web server logs. Mining algorithms yield usage patterns, but finding the ones that constitute new and interesting knowledge in the domain remains a challenge. Typically, analysts have to deal with a huge volume of pattern, from which they have to retrieve the potentially interesting one and interpret what they reveal about th...

The World Wide Web is an important medium for communication, data transaction and retrieving. Data mining is the process of extracting interesting patterns from a set of data sources. Web mining is the application of data mining techniques to extract useful patterns from web data. Web Mining can be divided into three categories, web usage mining, web content mining, and web structure mining. We...

In this paper, we propose to mine Web usage data on client side, or personal Web usage mining, as a complement to the server side Web usage mining. By mining client side Web usage data, more complete knowledge about Web usage can be obtained. A framework for personal Web usage mining is proposed. Some related issues and applications of personal Web usage mining

This paper addresses the problem of Near Duplicate document. Propose a new method to detect near duplicate document from a large collection of document set. This method is classified into three steps. Feature selection, similarity measures and discriminant function. Feature selection performs pre-processing; calculate the weight of each terms and heavily weighted term is selected as a features ...

An accepted trend is to categorize web mining into three main areas: web content mining, web structure mining and web usage mining. Web content mining involves extracting details/information from the contents of webpages and performing things like knowledge synthesis. Web structure mining involves the usage of graph theory to understand website structure/hierarchy. Web usage mining involves the...

The Semantic Web is a project and vision of the World Wide Web Consortium to extend the current Web, so that information is given a well-defined meaning and structure, enhancing computers and people to work in cooperation. Semantic web mining is the combination of web mining and semantic web. The knowledge of semantic web makes web mining easier to achieve and can also improve the effectiveness...