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As the popularity of WWW explodes, a massive amount of data is gathered by Web servers in the form of Web access logs which are rich source of information for understanding the Web user's surfing behavior. Web Usage Mining is an application of data mining algorithms to Web access logs to find trends and regularities in Web users' traversal pattern. Web page prediction technique is an important research...
To gain the competitive advantage in today's age of technology, growing data and to bear the competitive pressure, making strong decisions according to customer's need and market trend has become very important. With huge amount of data on internet, web data mining has become very significant. Web Usage helps companies to produce productive information pertaining to the future of their business function...
With more important function in information society, software dependability has been in higher demand. Web application vulnerability has become one of the biggest threats for software security. Detecting and solving vulnerability is the effective way to enhance software dependability. Most active method traverses all Web links and interactive units in traversing step, which is easy to cause low efficiency...
Generally, link analysis is based re-ranking Web-page retrieval in current Web search engine. The primary reason lies in the difference of link structures and data scale between global Web and Web site. In this paper, we propose a framework to construct implicit link structure by using frequent sequence miner (FS-Miner) in the user Web log. And then, the page rank algorithm is applied to re-ranked...
Traditional text mining techniques have weak ability to provide associated relations with rich semantics that is a foundation of the intelligent browsing of topics, discovery of semantic community and precise personalized recommendation in current Web and Knowledge Grid, etc. In this paper we propose an algorithm to generate and calculate the associated relations and their strengths between documents...
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