SIGMOD '99 Data Mining Workshop (SIGMOD-DMKD'99)

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
Objective
Sponsors
Registration
Workshop Chairs
Program Committee

Program

9:00am	Opening Remarks
9:15am	Invited Talk: Theoretical Frameworks for Data Mining Heikki Mannila, Microsoft Research
10:00am	Applications/Experiences Chair: Raymond Ng Fosca Giannotti, Giuseppe Manco, Dino Pedreschi and Franco Turini, "Experiences with a Logic-based knowledge discovery Support Environment" Shinichi Morishita, Teruyoshi Hishiki and Kousaku Okubo, "Towards Mining Gene Expression Database"
10:40am	Coffee Break
11:00am	Associations Chair: Jiawei Han Bart Goethals and Jan Van den Bussche, "A priori versus a posteriori filtering of association rules" Dimitris Meretakis and Beat Wuthrich, "Classification as Mining and Use of Labeled Itemsets" Devavrat Shah, Laks V S Lakshmanan, Krithi Ramamritham and S Sudarshan, "Interestingness and Pruning of Mined Patterns"
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 M. Dash and H. Liu, "Handling Large Unsupervised Data via Dimensionality Reduction" G. Grahne, Laks V. S. Lakshmanan, X. Wang, "Interactive Mining of Correlations - A Constraint Perspective" Jiawei Han, Qiang Yang, and Edward Kim, "Plan Mining by Divide-and-Conquer"
3:00pm	Coffee Break
3:20pm	Future Directions Chair: Rajeev Rastogi Daniel Barbara, "Chaotic Mining: Knowledge Discovery Using the Fractal Dimension" Theodore Johnson, Raymond Ng and Laks V.S. Lakshman, "Towards a Toolkit for Data Analysis and Mining" Vijayshankar Raman, Andy Chou, Joseph M. Hellerstein, "Scalable Spreadsheets for Interactive Data Analysis" Haixun Wang and Carlo Zaniolo, "User-Defined Aggregates for Datamining"
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

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