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Lectures & Course Material

Date
Topics & Reading
Sep 15 Overview Web Data Mining and E-Business Analytics
Reading:
  • Chapters 1 and 2 of Berry and Linoff
  • Web Analytics (Wikipedia)
  • Web Mining (Wikipedia)
  • Web Mining: Information and Pattern Discovery on the World Wide Web, by Robert Cooley, Bamshad Mobasher, and Jaideep Srivastava, ICTAI 1997.

    Watch this Interview:
  • This is an interview with Prof. Bamshad Mobasher of DePaul University in a recent episode of "Politics in Perspective" program on the cable Channel 19 which airs in the Chicago area. The topic is "Data Mining, security, and Privacy". You can view the full program (approx. 30 minutes) in Windows Media. Note: you will need Internet Explorer to be able to view the program.
  • Sep 22 Knowledge Discovery Process; Data Preparation for Mining
    Reading:
  • Chapters 3 and 17 of Berry and Linoff
  • Data Mining Overview
  • Driving e-Commerce Profitability From Online and Offline Data, White paper form Torrent Systems.
  • Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data, by Jaideep Srivastava, et. al., SIGKDD Explorations, January 2000.
  • Sep 29 Data Mining Techniques: Mining Association Rules and Sequential Patterns
    Reading:
  • Chapter 2 of B. Liu's Book
  • Chapter 9 of Berry and Linoff
  • Web Usage Mining for Web Site Evaluation, by Myra Spiliopoulou, Communications of ACM, August 2000.
  • An Internet-enabled Knowledge Discovery Process, by Alex Buchner, et. al., MINEit Software Ltd., 1999.
  • Oct 06 Data Mining Techniques: Classification & Prediction
    Reading:
  • Chapter 3 of B. Liu's Book
  • Chapter 6 of Berry and Linoff
  • Modeling Web Robot Navigation Patterns, by Pang-Ning Tan and Vipin Kumar, WebKDD Workshop at the ACM SIGKDD Conference, 2000.
  • Note: An additional description of the ID3 and C4.5 algorithms can be found in the document "Building Classification Models: ID3 and C4.5" from the AI course at Temple university.
  • Oct 13 Data Mining Techniques: Clustering; Memory-Based Reasoning
    Reading:
  • Chapter 4 of B. Liu's Book
  • Chapters 11 and 8 of Berry and Linoff
  • Text-Learning and Related Intelligent Agents: A Survey, by Dunja Mladenic, IEEE Intelligent Systems, July/August 1999.
  • Clustering Users of Large Web Sites into Communities, by Georgios Paliouras, et. al., ICML 2000.
  • Oct 20 Web Usage Mining: Data Preparation and Integration
    Reading:
  • Chapter 12 of B. Liu's Book
  • Data Preparation for Mining World Wide Web Browsing Patterns, by Robert Cooley, Bamshad Mobasher, and Jaideep Srivastava, Knowledge and Information Systems, Volume 1, No. 1, 1999.
  • Oct 27 Web Usage Mining: E-Metrics and E-Commerce Data Analysis, Predictive  Web Analytics
    Reading:
  • Chapters 14 and 4 of Berry and Linoff
  • E-Commerce Intelligence: Measuring, Analyzing, and Reporting on Merchandising Effectiveness of Online Stores, by Stephen Gomory, et. al., IBM T. J. Watson Research Center.
  • E-Metrics Business Metrics For The New Economy, White Paper from NetGenesis.
  • Nov 03 Web Usage Mining: E-Metrics and E-Commerce Data Analysis, Predictive  Web Analytics
    Reading:
  • Lessons and Challenges from Mining Retail E-Commerce Data, by Ron Kohavi, et al., Journal of Machine Learning, 2003.
  • Analysis of Recommendation Algorithms for E-Commerce, by Badrul Sarwar, et. al., ACM Electronic Commerce Conference, November 2000.
  • Nov 10 Web Personalization and Recommender Systems
    Reading:
  • Automatic Personalization Based on Web Usage Mining, by Bamshad Mobasher, Robert Cooley, and Jaideep Srivastava, Communications of ACM, August 2000.
  • Integrating Web Usage and Content Mining for More Effective Personalization, by Bamshad Mobasher et. al., EC-Web 2000.
  • Nov 17 Data Mining for the Social Web; Social Network Analysis
    Final Projects Due - Sunday, Nov. 22, 11:59 PM



    Copyright © 2009-2010, Bamshad Mobasher, CDM, DePaul University.