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Advances in Web Mining and Web Usage Analysis

6th International Workshop on Knowledge Discovery on the Web, WEBKDD 2004, Seattle, WA, USA, August 22-25, 2004, Revised Selected Papers

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Bamshad Mobasher

    1. Center for Web Intelligence School of Computing, DePaul University, Chicago, USA

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  2. Olfa Nasraoui

    1. Speed School of Engineering, Department of Computer Engineering & Computer Science, University of Louisville, Louisville, USA

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  3. Bing Liu

    1. College of Architecture and Urban Planning, Tongji University, Shanghai, P.R. China

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  4. Brij Masand

    1. Data Miners Inc., Boston, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3932)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: WebKDD 2004.

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Table of contents (11 papers)

  1. Front Matter

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  2. Web Usage Analysis and User Modeling

    1. Mining Temporally Changing Web Usage Graphs

      • Prasanna Desikan, Jaideep Srivastava
      Pages 1-17

    2. Improving the Web Usage Analysis Process: A UML Model of the ETL Process

      • Thilo Maier
      Pages 18-36

  3. Web Personalization and Recommender Systems

    1. Mission-Based Navigational Behaviour Modeling for Web Recommender Systems

      • Osmar R. Zaïane, Jia Li, Robert Hayward
      Pages 37-55

    2. Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors

      • Olfa Nasraoui, Mrudula Pavuluri
      Pages 56-72

    3. Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?

      • Jonathan Traupman, Robert Wilensky
      Pages 73-86

  4. Search Personalization

    1. Spying Out Accurate User Preferences for Search Engine Adaptation

      • Lin Deng, Wilfred Ng, Xiaoyong Chai, Dik-Lun Lee
      Pages 87-103

    2. Using Hyperlink Features to Personalize Web Search

      • Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
      Pages 104-115

  5. Semantic Web Mining

    1. Discovering Links Between Lexical and Surface Features in Questions and Answers

      • Soumen Chakrabarti
      Pages 116-134

    2. Integrating Web Conceptual Modeling and Web Usage Mining

      • Rosa Meo, Pier Luca Lanzi, Maristella Matera, Roberto Esposito
      Pages 135-148

    3. Boosting for Text Classification with Semantic Features

      • Stephan Bloehdorn, Andreas Hotho
      Pages 149-166

    4. Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts

      • Edoardo Airoldi, Xue Bai, Rema Padman
      Pages 167-187

  6. Back Matter

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Other volumes

  1. Advances in Web Mining and Web Usage Analysis

Keywords

About this book

TheWebisaliveenvironmentthatmanagesanddrivesawidespectrumofapp- cations in which a user may interact with a company, a governmental authority, a non-governmental organization or other non-pro?t institution or other users. User preferences and expectations, together with usage patterns, form the basis for personalized, user-friendly and business-optimal services. Key Web business metrics enabled by proper data capture and processing are essential to run an e?ective business or service. Enabling technologies include data mining, sc- able warehousing and preprocessing, sequence discovery, real time processing, document classi?cation, user modeling and quality evaluation models for them. Recipient technologies required for user pro?ling and usage patterns include recommendation systems, Web analytics applications, and application servers, coupled with content management systems and fraud detectors. Furthermore, the inherent and increasing heterogeneity of the Web has - quired Web-based applications to more e?ectively integrate a variety of types of data across multiple channels and from di?erent sources. The development and application of Web mining techniques in the context of Web content, Web usage, and Web structure data has already resulted in dramatic improvements in a variety of Web applications, from search engines, Web agents, and content management systems, to Web analytics and personalization services. A focus on techniques and architectures for more e?ective integration and mining of c- tent, usage,and structure data from di?erent sourcesis likely to leadto the next generation of more useful and more intelligent applications.

Editors and Affiliations

  • Center for Web Intelligence School of Computing, DePaul University, Chicago, USA

    Bamshad Mobasher

  • Speed School of Engineering, Department of Computer Engineering & Computer Science, University of Louisville, Louisville, USA

    Olfa Nasraoui

  • College of Architecture and Urban Planning, Tongji University, Shanghai, P.R. China

    Bing Liu

  • Data Miners Inc., Boston, USA

    Brij Masand

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