DM: Call for Papers (SIGMOD'99 DMKD WORKSHOP)

[bayardo]

        1999 ACM SIGMOD Workshop on Research Issues in
     Data Mining and Knowledge Discovery (SIGMOD'99 DMKD),
          held in cooperation with SIGMOD'99,
            Philadelphia, USA, May 30 1999
             ===========================================

URL: http://www.almaden.ibm.com/cs/dmkd

OBJECTIVES
----------

The Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD) was started three years ago as a forum to encourage database researchers to discuss and investigate data mining research issues focusing on large databases and data warehouses. Therefore, the first two DMKD Workshops primarily focused on advances in data mining algorithms for large databases.

However, as Data Mining and Knowledge Discovery successfully attracted people and became one of the active research areas in the database community, DMKD '98 changed the focus to research issues and experience in developing and deploying data mining systems, applications and solutions. For this year's workshop, we focus on four specific areas: experiences in deploying data mining systems, database/mining integration, novel techniques and future directions.

FORMAT
------

The workshop will be held the day preceeding the SIGMOD/PODS'99 conference. We plan to conduct four sessions with 5-6 speakers in each session. The sessions will be a hybrid between a panel and a regular conference session. The speakers will have about 10 minutes each to present an idea, an experience or a position, followed by 1/2 hour of discussion. The program will also include two invited talks (1/2 hour each) that will share the experiences in developing and deploying data mining technologies.

SESSIONS
--------

We describe below the planned sessions, along with the major topics of interest for each session. Of course, the sessions are not limited to the listed topics. We welcome idea, experience and position papers for all the sessions, e.g. "Do we really need faster associations algorithms?" for the algorithms session.

(1) Applications/Experiences Session:
    - Experience in building, deploying or evaluating a data mining
application
    - Novel applications of existing or new techniques

(2) Data Mining System Architectures:
    - Support for data mining in database engines
    - Languages and interfaces for integrating data mining with 
database
      querying - Integration of data mining and data warehousing
    - Integration of data mining and OLAP
    - Real-time data mining

(3) Algorithms Session:
    - Novel algorithms and techniques (focus on work in progress).

(4) Future Directions Session:
    - Open problems for which current mining techniques are inadequate
    - New application challenges and requirements (focus on specific
problems)

SUBMISSION OF ABSTRACT
----------------------

Papers should be no more than 5 pages (single-spaced) in Plain Text,
Postscript, or Word97 format. The papers should be submitted 
electronically as follows.
(1) Send an e-mail to dmkd99@research.bell-labs.com at least 3 days 
prior to the submission deadline with title, authors and affiliations.
(2) Send your paper to dmkd99@research.bell-labs.com until the due 
date. Submissions should specify a specific session.

REGISTRATION
------------

There is no separate registration for the workshop. It is included in the SIGMOD/PODS'99 registration.

IMPORTANT DATES
---------------

Abstract Due: March 22, 1999
Notification of Acceptance: April 30, 1999
Camera Ready Copy Due: May 14, 1999
Workshop Date: May 30, 1999

WORKSHOP CHAIRS
---------------

Kyuseok Shim, Bell Laboratories (shim@research.bell-labs.com)
Ramakrishnan Srikant, IBM Almaden Research Center 
(srikant@almaden.ibm.com)

PROGRAM COMMITTEE
-----------------

    Ramesh Agarwal, IBM T.J.Watson Research Center
    Andreas Arning, IBM Germany
    Roberto Bayardo, IBM Almaden Research Center
    Surajit Chaudhuri, Microsoft Research
    Umeshwar Dayal, Hewlett-Packard Research
    Usama Fayyad, Microsoft Research
    Dimitrios Gunopulos, University of California, Riverside
    Jiawei Han, Simon Fraser University
    H. V. Jagadish, University of Illinois at Urbana-Champaign
    Ted Johnson, AT&T Research
    Vipin Kumar, University of Minnesota at Minneapolis
    Laks V.S. Lakshmanan, IIT Bombay
    Hongjun Lu, Hong Kong University of Science and Technology
    Shinichi Morishita, University of Tokyo
    Rajeev Motwani, Stanford University
    Raymond Ng, University of British Columbia
    Giuseppe Psaila, Politecnico di Milano
    Sridhar Ramaswamy, Epiphany Inc.
    Rajeev Rastogi, Lucent Bell Labs
    Sunita Sarawagi, IIT Bombay
    John C. Shafer, IBM Almaden Research Center
    Hannu Toivonen, University of Helsinki
    Alexander Tuzhilin, New York University
    Kyu-Young Whang, Korea Advanced Institute of Science and 
Technology
(KAIST)
    Philip S. Yu, IBM T.J.Watson Research Center