Web usage mining has been widely adopted in various fields such as optimizing site structure, user-behavior analysis, personalized web services and system performance tuning. Although much research has been done against web log mining algorithms and log preprocessing techniques, the study of efficient retrieval of the structured contents for web log mining is seldom reported. In this paper, we ...

The Web has become a fertile ground for numerous research activities in mining. In this chapter we discuss research on finding targeted information on the Web. First, we briefly survey the research area. We focus in particular on two key issues: (a) mining to impose structures over Web data, for example by building taxonomies and portals, to aid in Web navigation, and (b) mining to build inform...

World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the methods for web mining is evolutionary algorithms which search according to the user interests...

Crisis management is an increasingly important activity of management. Organizations’ critical crises can induce severe consequences or even disasters if wrong decisions are made. The World Wide Web provides an unprecedented freedom for the public to discuss one’s opinions which impact much on the progress of the crisis. Based on the study of web mining and its relative techniques, a combined w...

Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. On the other hand, the rapid growth of e-commerce has caused product overload where customers on the Web are no longer able to effectively choose the products they are exposed to. Applying Web usage mining techniques...

Over the last decade, clichéd information age has justly arrived. Moreover, the evolution of the Internet into the Global Information Infrastructure, together with the massive popularity of the Web, has also enabled the ordinary citizen to become not just a consumer of information, but also a part of it. In order to make user trouble free, it is required to save his/her time and effort. So some...

A web site usually contains a large number of concept entities, each consisting of one or more web pages connected by hyperlinks. In order to discover these concept entities for more expressive web site queries and other applications, the web unit mining problem has been proposed. Web unit mining aims to determine web pages that constitute a concept entity and classify concept entities into cat...

Sequential Pattern mining is the process of applying data mining techniques to a sequential database for the purposes of discovering the correlation relationships that exist among an ordered list of events. The task of discovering frequent sequences is challenging, because the algorithm needs to process a combinatorially explosive number of possible sequences. Discovering hidden information fro...

Data mining techniques have proved to be efficient for discovering interesting and useful patterns in large amount of data such as in Web documents. This paper investigates the use of mining techniques to secure Web access. We propose UserWatcher, a mining tool that integrates Web usage mining and Web content mining to find potential correlations between data that a user accesses and the data t...

Central to successful e-business is the construction of web sites that attract users, capture user preferences, and entice them into making a purchase. Web mining is diverse data mining applied to categorize both the content and structure of web sites with the goal of aiding e-business. Web mining requires knowledge of the web site structure (hyperlink graph), the web content (vector model) and...