Advances in web mining and web usage analysis : 8th International Workshop on Knowledge discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006 : revised papers
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Bibliographic Information
Advances in web mining and web usage analysis : 8th International Workshop on Knowledge discovery on the Web, WebKDD 2006, Philadelphia, PA, USA, August 20, 2006 : revised papers
（Lecture notes in computer science, 4811 . Lecture notes in artificial intelligence）
Springer, c2007
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Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
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.
by "Nielsen BookData"