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 / Edition 1

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 / Edition 1

by Olfa Nasraoui
     
 

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 nine revised full papers presented together with a detailed preface went

See more details below

Overview

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 nine 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.

Product Details

ISBN-13:
9783540463467
Publisher:
Springer Berlin Heidelberg
Publication date:
11/14/2006
Series:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #4198
Edition description:
2006
Pages:
182
Product dimensions:
0.42(w) x 6.14(h) x 9.21(d)

Related Subjects

Table of 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.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >