Important Dates

  • Abstracts due:
    Monday May 20th
  • Papers due:
    Friday May 24th
  • Notification :
    Friday June 18th (delayed to June 24)
    • .
  • Camera ready:
    Tuesday July 2 (firm deadline)
  • Closing date for registration: Wednesday July 10th

WEBKDD 2002

Web Mining for Usage Patterns and User Profiles

http://db.cs.ualberta.ca/webkdd02/
webkdd02@cs.ualberta.ca


July 23, 2002, Edmonton, Alberta, Canada

Held in conjunction with the
ACM-SIGKDD Conference on Knowledge Discovery in Databases (SIGKDD'2002)

--- By invitation only ---


Request to Register (until July 10th)
Call for papers (txt ) (pdf )
Abstract Submission Form
Paper Submission Form 		Instructions for camera-ready copy
Workshop Program
Request to Register
WEBKDD'02 is the forth of a successful series of workshops on knowledge discovery in the Web. The strong interest for KDD in the Web has been manifested since the first WEBKDD workshop in 1999. The demand for attendance is expected to be high, as in previous workshops, and participation is limited to invited persons in order to create a workshop environment with strong emphasis on interactions between participants. Attendees are chosen based on paper submissions and statement of interests to foster exchanges of ideas between industry and academia.

The WEBKDD'02 workshop aims to bring together practitioners on web-commerce, portals and ASPs, decision-makers in non-commercial institutions that exploit web technologies to optimize their services, technology providers and data mining researchers to forster the exchange of ideas and the dissemination of emerging solutions on user and usage modelling for web-based applications.

Topics of interest

WEBKDD'02 calls for contributions related to data mining of log data, site information, document contents, user records and preferences, for the exploitation of the mining results in user profiling and usage modelling. These include the following subjects:

  • Enabling technologies
    • Data warehousing (both web and non-web data)
    • Data collection including event streams, such as clickstreams and call center streams, and transactional data
    • Techniques for web data preparation, including cleansing, transformation, and sampling
    • Classification of web page texts and multimedia content
  • Modelling users and usage
    • Profile establishment upon declared and derived preferences
    • Deriving profiles from usage
    • Discovering misuse and fraud
    • Recommendation systems
    • Student profiles in e-learning
    • Alert systems
    • Permission marketing
  • Applications for web-usage mining in
    • Recommendation systems, such as travel assistants
    • E-learning, such as collectors of personalized teaching materials
    • Alert systems, such as personalized delivery of news and journals
    • Fraud and misuse detection, such as credit-card fraud and network intrusion

Publication of the workshop proceedings

The workshop notes will be published by ACM and distributed during the workshop.

The full version of the accepted papers will be published by Springer-Verlag, after a second round of reviews, as a post-proceedings in the Lecture Notes in Artificial Intelligence series (LNCS/LNAI).

Workshop chairs:

Brij Masand - Data Miners Inc., USA
Myra Spiliopoulou - Leipzig Graduate School of Management, Germany
Jaideep Srivastava - University of Minnesota
Osmar R. Zaïane - University of Alberta, Canada