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

Boosting has become very popular in computer vision, showing impressive performance in
detection and recognition tasks. Mainly off-line training methods have been used, which …

Mining frequent trees is very useful in domains like bioinformatics, web mining, mining
semistructured data, and so on. We formulate the problem of mining (embedded) subtrees in …

Web Usage Mining is that area of Web Mining which deals with the extraction of interesting
knowledge from logging information produced by Web servers. In this paper we present a …

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

This book is a significant contribution to the subject of mining time-changing data streams
and addresses the design of learning algorithms for this purpose. It introduces new …

XML documents have recently become ubiquitous because of their varied applicability in a
number of applications. Classification is an important problem in the data mining domain …

Current text classification systems typically use term stems for representing document
content. Semantic Web technologies allow the usage of features on a higher semantic level …

Abstract Web Usage Mining is that area of Web Mining which deals with the extraction of
interesting knowledge from logging information produced by web servers. In this paper, we …

The Web is nowadays omnipresent: we use it at home for private reasons, and we use it at
work for professional reasons; we use it for fun (eg, gaming) and for serious interactions (eg …