1999 ACM SIGMOD Workshop on Research Issues in 
Data Mining and Knowledge Discovery (DMKD)

held in cooperation with SIGMOD '99 
Philadelphia, USA, May 30, 1999

Contents


Program

Note: Postscript files are available from the Web except as otherwise noted.
 
9:00am  Opening Remarks 
9:15am  Invited Talk: Theoretical Frameworks for Data Mining Heikki Mannila, Microsoft Research 
10:00am  Applications/Experiences Chair: Raymond Ng
10:40am  Coffee Break 
11:00am  Associations Chair: Jiawei Han
12:00pm  Lunch 
1:15pm  Invited Industry Talk: George John, E.piphany, Inc. 
Data Mining in the Real World 
2:00pm  Algorithms Chair: Ted Johnson
3:00pm  Coffee Break 
3:20pm  Future Directions Chair: Rajeev Rastogi
4:45pm  A Roundtable on Lessons Learnt and Future Directions
Chair: Umesh Dayal 
5:45pm  Conclusion 

Objective

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. The first two DMKD Workshops primarily focused on advances in data mining algorithms. DMKD '98 additionally emphasized data mining systems, applications and solutions. This year, as the field matures, we placed an additional focus on future directions.

Sponsors

We would like to thank IBM Intelligent Miner and Lucent Bell Labs for sponsoring the workshop. 

Registration

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

Workshop Chairs

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

Program Committee