Semantic Web Mining aims at combining the two fast-develo** research areas Semantic
Web and Web Mining. This survey analyzes the convergence of trends from both areas …

Liu has written a comprehensive text on Web mining, which consists of two parts. The first
part covers the data mining and machine learning foundations, where all the essential …

Two-dimensional contingency or co-occurrence tables arise frequently in important
applications such as text, web-log and market-basket data analysis. A basic problem in …

In this chapter we present an overview of Web personalization process viewed as an
application of data mining requiring support for all the phases of a typical data mining cycle …

This paper presents a comprehensive survey of web log/usage mining based on over 100
research papers. This is the first survey dedicated exclusively to web log/usage mining. The …

Web-usage mining has become the subject of intensive research, as its potential for
personalized services, adaptive Web sites and customer profiling is recognized. However …

With the rising importance of knowledge interchange, many industrial and academic
applications have adopted ontologies as their conceptual backbone. Business dynamics …

The key factors for the success of the World Wide Web are its large size and the lack of a
centralized control over its contents. Both issues are also the most important source of …

The only information left behind by many users visiting a Web site is the trace through the
pages they have accessed. From this data source, the site owner must figure out what the …

Current Web applications are very complex and highly sophisticated software products,
whose usability can greatly determine their success or failure. Defining methods for ensuring …