========================================================================= C a l l F o r P a p e r s ========================================================================= The First International Conference on Knowledge Discovery and Data Mining (KDD-95) -------------------------------------------- Montreal, Canada, August 20-21, 1995 ==================================== Sponsored by AAAI and in Cooperation with IJCAI, Inc. Co-located with IJCAI-95. Knowledge Discovery in Databases (KDD) and Data Mining are areas of common interest to researchers in machine learning, machine discovery, statistics, intelligent databases, knowledge acquisition, data visualization, high performance computing, and expert systems. The rapid growth of data and information created a need and an opportunity for extracting knowledge from databases, and both researchers and application developers have been responding to that need. KDD applications have been developed for astronomy, biology, finance, insurance, marketing, medicine, and many other fields. Core problems in KDD include representation issues, search complexity, the use of prior knowledge, statistical inference, and algorithms for the analysis of massive amounts of data both in size and dimensionality. Due to strong demand for participation and the growing demand for formal proceedings, it has become necessary to change the format of the previous KDD workshops to a conference with open attendance. This conference will continue in the tradition of the 1989, 1991, 1993, and 1994 KDD workshops by bringing together researchers and application developers from different areas, and focusing on unifying themes such as the use of domain knowledge, managing uncertainty, interactive (human-oriented) presentation, and applications. The topics of interest include: Foundational Issues and Core problems in KDD Data Mining Tools and Applications Computationally Efficient Search for Structure in Data Interactive Data Exploration and Discovery Knowledge Representation Issues in KDD Data and Knowledge Visualization Data and Dimensionality Reduction Prior Domain Knowledge and Re-use of Discovered Knowledge Statistical and Probabilistic Aspects of KDD Dependency Models and Inference Machine Learning/Discovery Algorithms for Large Databases Managing Model Selection and Model Uncertainty Assessment of Model Predictive Performance Integrated Discovery Systems and Theories Parallel techniques for data management and search Security and Privacy Issues in Machine Discovery This list of topics is not intended to be exhaustive but an indication of typical topics of interest. Prospective authors are encouraged to submit papers on any topics of relevance to Knowledge Discovery and Data Mining. We also invite working demonstrations of discovery systems. The conference program will include invited talks, a demo and poster session, and panel discussions. Active discussion format will be encouraged to maintain the workshop feel that previous participants found valuable and constructive. The conference proceedings will be published by AAAI. As in previous KDD Workshops, a selected set of KDD-95 papers will be considered for publication in journal special issues and as chapters in a book. PAPER SUBMISSION INFORMATION: Please submit 5 *hardcopies* of a short paper (a maximum of 9 single-spaced pages not including cover page but including bibliography, 1 inch margins, and 12pt font) by March 3, 1995. A cover page must include author(s) full address, E-MAIL, paper title and a 200 word abstract, and up to 5 keywords. This cover page must accompany the paper. IN ADDITION, an ascii text version of the cover page MUST BE SENT BY E-MAIL to kdd95@aig.jpl.nasa.gov by March 3, 1995. Please mail the papers to : KDD-95 AAAI 445 Burgess Drive Menlo Park, CA 94025-3496 U.S.A. send e-mail queries regarding submissions logistics to: kdd@aaai.org ******** I m p o r t a n t D a t e s ********** ** Submissions Due: March 3, 1995 ** ** Acceptance Notice: April 10, 1995 ** ** Camera-ready paper due: May 12, 1995 ** ************************************************* NOTE: information regarding local arrangements, registration, and technical program will be announced at a later date. Conference Co-Chairs: ==================== Usama M. Fayyad (Jet Propulsion Lab, California Institute of Technology) Ramasamy Uthurusamy (General Motors Research Laboratories) Program Committee ================= Rakesh Agrawal (IBM Almaden Research Center, USA) Tej Anand (AT&T Global Information Solutions, USA) Ron Brachman (AT&T Bell Laboratories, USA) Wray Buntine (NASA AMES Research Center, USA) Nick Cercone (University of Regina, Canada) Peter Cheeseman (NASA AMES Research Center, USA) Greg Cooper (University of Pittsburgh, USA) Brian Gaines (University of Calgary, Canada) Clark Glymour (Carnegie-Mellon University, USA) David Hand (Open University, UK) David Heckerman (Microsoft Corporation, USA) Se June Hong (IBM T.J. Watson Research Center, USA) Larry Jackel (AT&T Bell Labs, USA) Larry Kerschberg (George Mason University, USA) Willi Kloesgen (GMD, Germany) David Madigan (University of Washington, USA) Chris Matheus (GTE Laboratories, USA) Heikki Mannila (University of Helsinki, Finland) Gregory Piatetsky-Shapiro (GTE Laboratories, USA) Daryl Pregibon (AT&T Bell Laboratories, USA) Arno Siebes (CWI, Netherlands) Evangelos Simoudis (Lockheed Research Center, USA) Andrzej Skowron (University of Warsaw, Poland) Padhraic Smyth (Jet Propulsion Laboratory, USA) Alex Tuzhilin (NYU Stern School, USA) Xindong Wu (Monash University, Australia) Wojciech Ziarko (University of Regina, Canada) Jan Zytkow (Wichita State University, USA) Publicity Chair: Padhraic Smyth, Jet Propulsion Laboratory Industry Liaison: Gregory Piatetsky-Shapiro, GTE Laboratories CONTACT INFORMATION: Please send KDD-95 conference registration and related inquiries to: ------------------------------------------------------------------- KDD-95 American Association for Artificial Intelligence (AAAI) 445 Burgess Drive Menlo Park, CA 94025-3496. U.S.A. Phone: (+1 415) 328-3123; Fax: (+1 415) 321-4457 Email: kdd@aaai.org Please send technical program related queries to Program Co-Chairs: ------------------------------------------------------------------ Usama M. Fayyad Ramasamy Uthurusamy Machine Learning Systems Group Computer Science Department, AP/50 Jet Propulsion Lab M/S 525-3660 General Motors Research, Bldg 1-6 California Institute of Technology 30500 Mound Road, Box 9055 Pasadena, CA 91109 Warren, MI 48090-9055 U.S.A. U.S.A. (+1 818) 306-6197 Phone (+1 810) 986-1989 Phone (+1 818) 306-6912 FAX (+1 810) 986-9356 Fax Email : kdd95@aig.jpl.nasa.gov Please send KDD-95 Publicity and related inquiries to: ----------------------------------------------------- Padhraic Smyth (KDD-95) email: kdd95@aig.jpl.nasa.gov Jet Propulsion Laboratory, 525-3660, California Institute of Technology 4800 Oak Grove Drive, Pasadena, CA 91109 U.S.A. Phone: (+1 818) 306-6422 Fax: (+1 818) 306-6912 Inquiries about KDD-95 sponsorship and industry participation to: ---------------------------------------------------------------- Gregory Piatetsky-Shapiro, e-mail: gps@gte.com GTE Laboratories, MS-45 tel: 617-466-4236 40 Sylvan Road fax: 617-466-2960 Waltham MA 02154-1120 USA URL: http://info.gte.com/~kdd/kdd95.html ----------------------------------------------------------------------------