New Submission Deadline

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The submission deadline for the workshop has been extended to April 3 due to a number of requests for extension.

Objectives

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The Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD 2000) was started four 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 workshop is being held in cooreration with SIGMOD/PODS 2000. The focus of previous workshops has ranged from novel data mining algorithms to experiences in deploying data mining systems and applications. For this year's workshop, we would like to retain the above two themes, but in addition also solicit papers that that address the following three topics that we believe are important for the data mining field today. 1. Foundations of data mining. There are numerous techniques that fall under the broad umbrella of "data mining" algorithms (e.g., association rules, classification, clustering). A framework or model that unifies these disparate techniques would be a major contribution to the field (e.g., is data mining simply the process of generating "good" summaries of the data?). 2. Data mining techniques for vertical applications. These are techniques that focus on specific applications and exploit domain-specific knowledge to mine the data more effectively. Examples of such applications include E-commerce, Fraud detection (telecom, credit-card), Network management, customer relationship management, etc. 3. Novel Data Applications. These are data mining techniques and applications that focus on exploring novel kinds of data, such as geographical data, environmental data, or medical data.

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Sponsors

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We would like to thank IBM Intelligent Miner, Epiphany, Lucent Bell Labs and AT&T for sponsoring the workshop.

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Registration

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There is no separate registration for the workshop. It is included in the SIGMOD/PODS 2000 registration.

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Important Dates

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Paper Due: March 20, 2000 Notification of Acceptance: April 23, 2000 Camera Ready Copy Due: May 1, 2000 Workshop Date: May 14, 2000

Submitting Papers

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Papers should be no more than 10 pages (12pt, single-spaced) in Plain Text, Postscript, PDF, or MS Word format. Send the full paper electronically to: dmkd2000@research.bell-labs.com before 11:59pm PST, March 20, 2000. If this is more convenient for you, send a hardcopy to the following address by the same date: D. Gunopulos Dept. of Computer Science and Engineering, Bourns College of Engineering Univ. of California, Riverside Riverside, CA 92521 phone: 909-787-2479

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Workshop Chairs

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Dimitrios Gunopulos, University of California, Riverside (dg@cs.ucr.edu) Rajeev Rastogi, Lucent Bell Labs (rastogi@bell-labs.com.com)

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Program Committee

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Roberto Bayardo, IBM Almaden Soumen Chakrabarti, IIT Bombay Surajit Chaudhuri, MICROSOFT Research Gautam Das, MICROSOFT Research Usamma Fayyad, MICROSOFT Research Minos Garofalakis, Lucent Bell-Labs Johannes Gehrke, Cornell Univ. Jiawei Han, Simon Frasier Univ. Ted Johnson, ATT Research Nick Koudas, ATT Research Laks Lakshmanan, IIT Bombay Heikki Mannila, NOKIA research Rajeev Motwani, Stanford Univ. Raymond Ng, Univ. of British Columbia Sunita Sarawagi, IIT Bombay Kyuseok Shim, Lucent Bell-Labs Nandit Soparkar, Univ. of Michigan, Ann Arbor Ramakrishnan Srikant, IBM Almaden Hannu TT Toivonen, NOKIA Research Mohammed Zaki, RPI

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Invited Speakers

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H.V. Jagadish, Univ. of Michigan Sridhar Ramaswamy, Epiphany Diane Lambert, Bell Labs

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Workshop Program

9:00 am - 10:00 am Invited Talk H. V. Jagadish, University of Michigan, Ann Arbor 10:00 am - 10:30 am Coffee Break 10:30 am - 11:45 am Paper Session(1) Database System Extensions for Decision Support: the AXL Approach Haixun Wang, Carlo Zaniolo CLOSET: An efficient algorithm for mining frequent closed Itemsets Jian Pei, Jiawei Han, Runying Mao Approximate Query Answering in High-Dimensional Data Cubes Chris Jermaine, Renee Miller Multilevel Filtering for High Dimensional Nearest Neighbor Search Changzhou Wang, X. Sean Wang Reverse Nearest Neighbor Queries for Dynamic Databases Ioana Stanoi, Divyakant Agrawal, Amr El Abbadi 11:45 am - 1:00 pm Lunch Break 1:00 pm - 2:00 pm Invited Talk Sridhar Ramaswamy, Epiphany Inc. 2:00 pm - 3:30 pm Paper Session(2) On Mining Web Access Logs Anupam Joshi, Raghu Krishnapuram Extending Data Mining for Spatial Applications: A Case Study in Predicting Nest Locations Sanjay Chawla, Shashi Shekhar, Weili Wu, Uygar Ozesmi Discovering Interesting Association Rules in Medical Data Carlos Ordonez, Cesar A. Santana, Levien de Braal Combining Strategies for Extracting Relations from Text Collections Eugene Agichtein, Eleazar Eskin, Luis Gravano Finding Structure and Characteristic of Web Documents for Classification Wai-ching Wong and Ada Wai-chee Fu The Knowledge Discovery Assistant: Making Data Mining Available for Business Users Oliver Hogl, Herbert Stoyan, Michael Muller 3:30 pm - 4:00 pm Coffee break 4:00 pm - 5:00 pm Invited Talk Diane Lambert, Bell Laboratories 5:00 pm - 6:00 pm Panel Umesh Dayal, HP Labs (Moderator)