Advances in Web Mining and Web Usage Analysis : 7th International Workshop on Knowledge Discovery on the Web, WEBKDD 2005, Chicago, IL, USA, August 21, 2005, Revised Papers / edited by Olfa Nasraoui, Osmar Zaiane, Myra Spiliopoulou, Manshad Mobasher, Brij Masand, Philip Yu.

Format:

Book

Contributor:

Nasraoui, Olfa, 1968- editor.

Zaïane, Osmar, editor.

Spiliopoulou, Myra, editor.

Mobasher, Manshad, editor.

Masand, Brij, 1957- editor.

Yu, Philip, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4198.

Lecture Notes in Artificial Intelligence ; 4198

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Database management.

Information storage and retrieval.

Application software.

Computers and civilization.

Artificial Intelligence.

Computer Communication Networks.

Database Management.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Computers and Society.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Database Management.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Computers and Society.

Physical Description:

1 online resource (X, 182 pages).

Edition:

First edition 2006.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.

System Details:

text file PDF

Summary:

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.

Contents:

Mining Significant Usage Patterns from Clickstream Data

Using and Learning Semantics in Frequent Subgraph Mining

Overcoming Incomplete User Models in Recommendation Systems Via an Ontology

Data Sparsity Issues in the Collaborative Filtering Framework

USER: User-Sensitive Expert Recommendations for Knowledge-Dense Environments

Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation

Adaptive Web Usage Profiling

On Clustering Techniques for Change Diagnosis in Data Streams

Personalized Search Results with User Interest Hierarchies Learnt from Bookmarks.

Other Format:

Printed edition:

ISBN:

978-3-540-46348-1

9783540463481

Access Restriction:

Restricted for use by site license.