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KDD'2000 Workshop WEBKDD'2000:
Web Mining for E-Commerce-- Challenges and Opportunities

http://www.wiwi.hu-berlin.de/~myra/WEBKDD2000
http://robotics.Stanford.EDU/~ronnyk/WEBKDD2000/

August 20, 2000, Boston, MA

Workshop description
--------------------
The ease and speed with which business transactions can be carried out
over the Web has been a key driving force in the rapid growth of
electronic commerce. Knowledge about the customer is fundamental for
viable e-commerce solutions. `Web mining for e-commerce' is the
application of web mining techniques to acquire this knowledge for
e-commerce.

The WEBKDD'2000 workshop, as successor of WEBKDD'99, concentrates on
web mining for e-commerce. It aims to bring together e-commerce
practitioneres, tool vendors and data mining researchers and to foster
the exchange of ideas, the discussion of currently proposed solutions
and the establishment of an agenda for further emerging issues.


Topics of interest include but are not limited to:
--------------------------------------------------
* Enabling technologies for e-commerce
  - Web data warehousing
  - Data collection including clickstreams and purchase data
  - Techniques for web data preparation
  - Data mining methodologies for different web data types
  - Analysis over integrated data from multiple sites
  - Methods for the evaluation of mining results
  - Scalability and parallelization
  - Real-time profiling
  - Updating of profiles
* E-commerce applications
  - Web marketing: direct marketing and advertising
  - Web merchandizing: product promotion, purchase, and delivery
  - User profiling
  - Recommender systems
  - Intelligent brokers
* Privacy and trust
  - Anonymization services
  - Safe communication
  - Fraud detection
* Case studies on the above subjects


Important dates
---------------
  * Abstracts due: April 30
  * Papers due: May 15
  * Notification of acceptance: June 15
  * Camera ready: July 15
  * Workshop: August 20


Submission guidelines
---------------------
1. Long papers (up to 5000 words) reporting on new theoretical models,
   software tools and experimental studies

2. Short papers (up to 3000 words) reporting on ongoing research
   projects, case studies and lessons learned by experimentation

Submissions should be in PDF or Postscript, abstracts in plain ASCII.
All submissions must be sent to webkdd2000@wiwi.hu-berlin.de .


Program chairs
* Ronny Kohavi (ronnyk@bluemartini.com), Blue Martini Software, USA
* Myra Spiliopoulou (myra@wiwi.hu-berlin.de), Humboldt University Berlin, Germany
* Jaideep Srivastava (jaideep@amazon.com), Amazon.com, USA

Local organization
* Brij Masand (brij@redwood.com), Redwood.com

Program Committee
* Paul Alpar, Philipps-University Marburg, Germany
* Jonathan Becher, Accrue/NeoVista, USA
* Michael Berry, Data Miners, USA
* Alan Broder, White Oak Technologies, Inc., USA
* Alex Buechner, NIKEL, Faculty of Informatics, University of Ulster, Northern Ireland, UK
* Robert Cooley, Computer Science & Engineering, University of Minnesota, USA
* Usama Fayyad, Microsoft, USA
* Anant Jhingran, Institute for Advanced Commerce, IBM TJ Watson Laboratory, USA
* Vipin Kumar, Computer Science & Engineering, University of Minnesota, USA
* Brian Lent, Amazon.com, USA
* Llew Mason, Blue Martini Software, USA
* Jesus Mena, Web Miner, USA
* Anne Milley, SAS, USA
* Brad Miller, Netperceptions, Inc., USA
* Bamshad Mobasher, Computer Science, DePaul University
* Guenter Mueller, Telematics, University of Freiburg, Germany
* Maurice Mulvenna, MINEit Software, Northern Ireland, UK
* John Roddick, School of Informatics & Engineering, Flinders University of South Australia
* Alex Tuzhilin, Stern School of Business, New York University, USA
* Maria Zemankova, NSF Program Director for Information Technology
* Zijian Zheng, Blue Martini Software, USA

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