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Computer Science - Artificial Intelligence | Advances in Web Mining and Web Usage Analysis - 8th International Workshop on Knowledge Discovery

Advances in Web Mining and Web Usage Analysis

8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers

Nasraoui, O., Spiliopoulou, M., Srivastava, J., Mobasher, B., Masand, B. (Eds.)

2007, XII, 252 p.

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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.

It was mounted in conjunction with the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 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.

The enhanced papers analyze new technologies from areas such as adaptive mining methods, and stream mining algorithms.

They cover techniques for the Grid, particularly flat texts, documents, pictures and streams, usability, e-commerce applications, personalization, and recommendation engines.

The text comes complete with online files and updates.

Content Level » Research

Keywords » DOM - Session - algorithms - association rule mining - classification - clustering - data mining - filtering - graph mining - learning - machine learning - pattern mining - recommender systems - security - user profiling

Related subjects » Artificial Intelligence - Communication Networks - Database Management & Information Retrieval - General Issues

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.

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