------------ Call for Papers ------------------------------------

ACM-SIGKDD'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
To be held in conjunction with ACM-SIGKDD Conference
on Knowledge Discovery in Databases (KDD'2000)

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. The Web is revolutionizing the way business
interact with each other (B2B) and with each customer (B2C). It has
introduced entirely new ways of doing commerce, including e.g. auctions
and reverse auctions. It also made it imperative for organizations and
companies to optimize their electronic business.

Knowledge about the customer is fundamental for the establishment of
viable e-commerce solutions. `Web mining for e-commerce' is the
application of web mining techniques to acquire this knowledge for
e-commerce. Typical concerns in e-commerce include improved cross-sells,
up-sells, personalized ads, targeted assortments, improved conversion
rates, and measurements of the effectivity of actions.

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
------------------
WEBKDD'2000 calls for contributions on topics related to data mining for
e-commerce. These include the following subjects:

* Enabling technologies for e-commerce
  - Web data warehousing
  - Data collection including clickstreams and purchase data
  - Techniques for web data preparation, including cleaning,
    transforming, sampling
  - 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
---------------------
Original papers are solicited on the above or related issues of web
mining for e-commerce. Submissions are of two types:

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

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

Submissions should be in PDF or Postscript format.
The abstracts, including the title, authors and abstract of the
contribution should be sent in plain ASCII format (no HTML-tags please).

All submissions must be sent to webkdd2000@wiwi.hu-berlin.de .
Use this account for submissions only! For questions, address one
of the workshop chairs instead.

Publication of the proceedings: The name of the publisher will be
announced within the next days (prior to May 15).



Organization
------------
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 

+ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +
+ Dr. Myra Spiliopoulou                                                 +
+ Institut fuer Wirtsschaftsinformatik, Humboldt-Universitaet zu Berlin +
+ Spandauer Str. 1, 10178 Berlin, GERMANY                               +
+                                                                       +
+ Phone: +49.30.2093-5740 (NEW NEW NEW NEW NEW NEW)                     +
+ Fax:              -5741                                               +
+ Email: myra@wiwi.hu-berlin.de                                         +
+ http://www.wiwi.hu-berlin.de/~myra/                                   +
+ +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +