Advances in Web Mining and Web Usage Analysis: 7th International Workshop on Knowledge Discovery on the Web, WEBKDD 2005, Chicago, IL, USA, August 21, . (Lecture Notes in Computer Science, 4198)

ISBN 10: 3540463461 / ISBN 13: 9783540463467

Published by Springer, 2006

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In. Seller Inventory # ria9783540463467_new

Bibliographic Details

Title: Advances in Web Mining and Web Usage ...

Publisher: Springer

Publication Date: 2006

Binding: Soft cover

Condition: New

About this title

Synopsis:

Thisbookcontainsthepostworkshopproceedingsofthe7thInternationalWo- shop on Knowledge Discovery from the Web, WEBKDD 2005. The WEBKDD workshop series takes place as part of the ACM SIGKDD International Conf- ence on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the an- ysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysisofdata pertinentto theWeb.Web mining methods areappliedonusage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. In the last years, the interest for the Web as medium for communication, interaction and business has led to new challenges and to intensive, dedicated research. Many of the infancy problems in Web mining have now been solved but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges.

Synopsis:

This book constitutes the thoroughly refereed post-proceedings of the 7th International Workshop on Mining Web Data, WEBKDD 2005, held in Chicago, IL, USA in August 2005 in conjunction with the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2005. The 9 revised full papers presented together with a detailed preface went through two rounds of reviewing and improvement and were carefully selected for inclusion in the book. The enhanced papers show that Web mining techniques and applications have to more effectively integrate a variety of types of data across multiple channels and from different sources in addition to usage, such as content, structure, and semantics. Thus a next generation of intelligent applications is stimulated for more effective exploitation and mining of multi-faceted data. The papers express also the need to study and design robust recommender systems that can resist various malicious manipulations.