KDD-99: The ACM SIGKDD International Conference on Knowledge Discovery and Data Mining August 15-18, 1999, San Diego, CA, USA Sponsored by: ACM SIGKDD SIGKDD, Association for Computing [acmlogo.gif (3393 bytes)] Machinery (ACM) ACM Special Interest Group Co-sponsored by the ACM: SIGMOD and [DMLOGO.GIF (8871 bytes)] on Knowledge Discovery & SIGART, and by The American Data Mining Association for Artificial Intelligence (AAAI) KDD-99 is the fifth in the series of KDD conferences starting with KDD-95. Starting with KDD-99, this conference series will be organized by the newly formed SIGKDD organization. IMPORTANT DATES: Program Committee Co-Chairs: KDD-99: The ACM SIGKDD [WB01062_.GIF (249 bytes)] Surajit Chaudhuri, Microsoft Research, International Conference on March 1, 1999: submit USA Knowledge Discovery & Data e-mail abstract David Madigan, University of Mining [WB01062_.GIF (249 bytes)] Washington, USA August 15-18, 1999 March 5, 1999: submit 6 General Chair: Usama Fayyad, Microsoft hardcopies of full paper Research, USA San Diego, California, [WB01062_.GIF (249 bytes)] USA May 17, 1999: notification The continuing rapid growth of on-line of acceptance data and the widespread use of Program Committee [WB01062_.GIF (249 bytes)] databases have created a need and an Co-chairs: opportunity for extracting useful June 14, 1999: knowledge from databases and making Surajit Chadhuri, camera-ready copy due database access easier and more Microsoft Research [WB01062_.GIF (249 bytes)] convenient. This conference will bring and August 14, 1998: Attend together researchers and practitioners David Madigan, KDD-99 and focus on new developments in University of Washington Knowledge Discovery and Data Mining. KDD-99 Organizing The challenge of extracting knowledge General Chair: Committee: from data is an area of common Usama Fayyad, interest to researchers in several Microsoft Research Program Chairs: fields, including statistics, Surajit Chaudhuri & David databases, pattern recognition, Contact Information: Madigan machine learning, data visualization, General Chair: optimization, and high-performance Surajit Chaudhuri Usama Fayyad computing. Microsoft Research Industrial/Applications Redmond, WA 98052, USA Track Chair: The Fifth ACM SIGKDD International SurajitC@microsoft.com Jim Gray Conference on Knowledge Discovery and phone:+1-425-703-1938 Publicity Chair: Data Mining (KDD-99) will follow on fax:+1-425-936-7329 Foster Provost the success of previous KDD Workshops Chair: conferences, most recently the KDD-98 David Madigan Rakesh Agrawal conference. Starting with KDD-99, all Statistics Department Panels Chair: future conferences in this series will University of Washigton, Padhraic Smyth be held as the annual conference of Seattle, WA 98195-4322 Demos/Exhibits Chair: the newly formed ACM Special Interest madigan@stat.washington.edu Ismail Parsa Group on Knowlede Discovery and Data phone: +1(206)543-4537 Tutorials Chair: Mining (SIGKDD). fax: +1(206)685-7419 Jiawei Han Sponsorship Chair: The technical program in KDD-99 will Usama Fayyad R. Uthurusamy consist of high quality research Microsoft Research Proceedings Chair: papers, complemented by: Redmond, WA 98052, USA Kyuseok Shim Fayyad@microsoft.com Awards Chair: Industrial Track Presentations: phone:+1-425-703-1528 G. Piatetsky-Shapiro These presentations will focus on fax:+1-425-936-7329 Local Arrangements Chair: industrial practice and experience in Jenny Zhang KDD and will provide an excellent opporunity for researchers and SIGKDD Chair: industrial practitioners to interact Won Kim and spur development of new research directions that are of possible high RELATED LINKS: impact for the KDD industry. SIGKDD Tutorials: Knowledge Discovery and Due to the popularity of this track, Data Mining Journal KDD-99 will provide a solid tutorial Comm. of ACM issue on program at no extra cost to conference Data Mining registrants. The tutorials are a great Past KDD Conferences: way to quickly get acquainted with KDD-98, KDD-97, KDD-96, various KDD themes and Data Mining KDD-95 techniques. Panels: Panels will provide opportunities for discussion on topics that concern the KDD community and will address foundational issues as well as issues of practice and applications. Workshop Program: The conference will provide a venue for a few workshops to focus on advanced research areas of knowledge discovery, and allow interested researchers to gather in relatively small groups for intense and focused interactions. Demonstrations and Exhibits: The conference will include demonstrations of knowledge discovery and data mining products, knowledge discovery applications and research prototypes. Exhibits will also be accessible separately from the conference. Call for Papers (Research Papers): Prospective authors are encouraged to submit research papers on any topics of relevance to knowledge discovery and data mining. We strongly encourage submission of papers and participation that aim to foster cross-fertilization and integration of ideas across various disciplines in KDD. We are especially interested in papers that describe significant implementation issues and experience in using data mining systems. The topics of interest include, but are not limited to: Novel KDD algorithms Techniques for high-dimensional data Data Mining Mining over noisy data Incorporating domain Techniques: and data cleaning knowledge for Data Mining Anytime and Mining over text, incremental mining multimedia information and techniques Web data Scalable statistical and data mining Database architectures and primitives for data mining Mining Enterprise algorithms Databases: Unification of data Integration of data mining with database warehousing, OLAP and data querying Benchmarks mining Implementation Issues Application of KDD in for KDD systems vertical domains Implementation and Applications: Experience in using Limitations and KDD systems success/failure case studies Data and knowledge Interactive data visualization exploration and discovery KDD Process and Novel visualization Human Interaction: Methods for evaluating modalities for high subjective relevance and utility dimensions and massive data sets Submission Guidelines: All submissions (including technical papers, panels, demos, tutorials and industrial submissions) must be received by March 5, 1998. Submissions should be sent to: Research Papers: Research paper submissions should be less than 20 pages, double-spaced, in no smaller than 12pt font and with 1 inch margins. The address, telephone number and email-address should be given on the title page of the submission. The authors will need to send 6 hardcopies of the submission. In addition, you will need to electronically submit a PLAIN ASCII file containing the title of the paper, names of authors and an sbtract of 250 words or less by March 1st, 1998. The submission guidelines for the electronic abstract as well as the hardcopy will be posted at http://research.microsoft.com/datamine/KDD99. All authors of accepted papers will be required to sign copyright release forms, and one author of each accepted paper will be expected to present the paper at the conference. Industrial Track Presentations, Demos, Tutorials, Exhibits, and Workshops: The website http://research.microsoft.com/datamine/KDD99 will provide updated information on submission guidelines shortly. IMPORTANT DATES: Firm deadline for electronic abstract submission of research March 1, papers: 1999 Firm deadline for paper March 5, submissions: 1999 Notification for May 17, Acceptance/Rejection: 1999 Camera-Ready Copies Due: June 14, 1998 KDD-99 ORGANIZING COMMITTEE: Program Co-Chairs Surajit Chaudhuri, Microsoft Research (surajitc@microsoft.com) David Madigan, University of Washington (madigan@stat.washington.edu) General Chair Usama Fayyad, Microsoft Research (fayyad@microsoft.com) Industrial/ApplicationsJim Gray, Microsoft Research Track Chair (gray@microsoft.com) Industrial Track Chair Publicity Chair Foster Provost, Bell Atlantic Corp.(provost@acm.org) Workshops Chair Rakesh Agrawal, IBM Almaden Research Center (ragrawal@almaden.ibm.com) Padhraic Smyth, University of Panels Chair California, Irvine (smyth@ics.uci.edu) Tutorials Chair Jiawei Han, Simon Fraser University (han@cs.sfu.ca) Sponsorship Chair Ramasamy Uthurusamy, General Motors Corp. (samy@iss.gm.com) Demos/Exhibits Chair Ismail Parsa, Epsilon Corp (iparsa@epsilon.com) Local Arrangements Chair Jenny Zhang, HNC Inc. (jgz@hnc.com) Proceedings Chair Kyuseok Shim, Bell Laboratories (shim@research.bell-labs.com) Awards Chair G. Piatetsky-Shapiro, Knowledge Stream Partners (gps@kstream.com) SIGKDD chair Won Kim, Cyber Database Solutions (won.kim@cyberdb.com)