Advances in Web Mining and Web Usage Analysis

This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conference 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 the Web.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. Inthelastfewyears,theinterestfortheWebasamediumforcommunication, interaction and business has led to new challenges and to intensive, dedicated research.Many ofthe infancy problems in Web mining have been solvedby now, but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges. ThethemeoftheWebKDD2006workshopwasKnowledgeDiscoveryonthe Web, encompassing lessons learned over the past few years and new challenges for the years to come. While some of the infancy problems of Web analysis have beensolvedandproposedmethodologieshavereachedmaturity,therealityposes newchallenges:TheWebisevolvingconstantly;siteschangeanduserpreferences drift. And, most of all, a Web site is more than a see-and-click medium; it is a venue where a user interacts with a site owner or with other users, where group behavior is exhibited, communities are formed and experiences are shared.

Klappentext

Web mining and usage is a fast-moving and hugely important field of study. This new Springer text constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Mining Web Data, WEBKDD 2006, held in Philadelphia, USA in 2006. The 13 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. They cover a huge range of relevant topics.

Inhalt
Adaptive Website Design Using Caching Algorithms.- Incorporating Usage Information into Average-Clicks Algorithm.- Nearest-Biclusters Collaborative Filtering with Constant Values.- Fast Categorization of Web Documents Represented by Graphs.- Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web.- How to Define Searching Sessions on Web Search Engines.- Incorporating Concept Hierarchies into Usage Mining Based Recommendations.- A Random-Walk Based Scoring Algorithm Applied to Recommender Engines.- Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of Clustering.- Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach.- Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection.- Analysis of Web Search Engine Query Session and Clicked Documents.- Understanding Content Reuse on the Web: Static and Dynamic Analyses.