Return-Path: Received: from GLINDA.OZ.CS.CMU.EDU by A.GP.CS.CMU.EDU id aa19614; 13 Dec 93 11:23:19 EST Received: from pogo.isp.pitt.edu by GLINDA.OZ.CS.CMU.EDU id aa21569; 13 Dec 93 11:22:57 EST Received: by pogo.isp.pitt.edu (5.57/Ultrix3.0-C) id AA20910; Mon, 13 Dec 93 11:21:52 -0500 Received: by alpha.smi.med.pitt.edu (5.1/6.2) id AA23994; Mon, 13 Dec 93 11:21:51 -0500 (EST) Date: Mon, 13 Dec 93 11:21:51 -0500 (EST) From: Greg.Cooper@smi.med.pitt.edu Message-Id: <9312131621.AA23994@alpha.smi.med.pitt.edu> To: intsys@pogo.isp.pitt.edu Subject: Workshop announcement ============================================================================ C a l l F o r P a p e r s ============================================================================ KDD-94: AAAI Workshop on Knowledge Discovery in Databases Seattle, Washington, July 31-August 1, 1994 =========================================== Knowledge Discovery in Databases (KDD) is an area of common interest for researchers in machine learning, machine discovery, statistics, intelligent databases, knowledge acquisition, data visualization 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, and statistical inference. This workshop will continue in the tradition of the 1989, 1991, and 1993 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: Applications of KDD Techniques Interactive Data Exploration and Discovery Foundational Issues and Core Problems in KDD Machine Learning/Discovery in Large Databases Data and Knowledge Visualization Data and Dimensionality Reduction in Large Databases Use of Domain Knowledge and Re-use of Discovered Knowledge Functional Dependency and Dependency Networks Discovery of Statistical and Probabilistic models Integrated Discovery Systems and Theories Managing Uncertainty in Data and Knowledge Machine Discovery and Security and Privacy Issues We also invite working demonstrations of discovery systems. The workshop program will include invited talks, a demo and poster session, and panel discussions. To encourage active discussion, workshop participation will be limited. The workshop proceedings will be published by AAAI. As in previous KDD Workshops, a selected set of papers from this workshop will be considered for publication in journal special issues and as chapters in a book. Please submit 5 *hardcopies* of a short paper (a maximum of 12 single-spaced pages, 1 inch margins, and 12pt font, cover page must show author(s) full address and E-MAIL and include 200 word abstract + 5 keywords) to reach the workshop chairman on or before March 1, 1994. Usama M. Fayyad (KDD-94) | Fayyad@aig.jpl.nasa.gov AI Group M/S 525-3660 | Jet Propulsion Lab | (818) 306-6197 office California Institute of Technology | (818) 306-6912 FAX 4800 Oak Grove Drive | Pasadena, CA 91109 | ************************************* I m p o r t a n t D a t e s ********** * Submissions Due: March 1, 1994 * * Acceptance Notice: April 8, 1994 Final Version due: April 29, 1994 * ****************************************************************************** Program Committee ================= Workshop 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) Ron Brachman (AT&T Bell Laboratories) Leo Breiman (University of California, Berkeley) Nick Cercone (University of Regina, Canada) Peter Cheeseman (NASA AMES Research Center) Greg Cooper (University of Pittsburgh) Brian Gaines (University of Calgary, Canada) Larry Kerschberg (George Mason University) Willi Kloesgen (GMD, Germany) Chris Matheus (GTE Laboratories) Ryszard Michalski (George Mason University) Gregory Piatetsky-Shapiro (GTE Laboratories) Daryl Pregibon (AT&T Bell Laboratories) Evangelos Simoudis (Lockheed Research Center) Padhraic Smyth (Jet Propulsion Laboratory) Jan Zytkow (Wichita State University) ============================================================================ From toomey@Xenon.Stanford.EDU Thu Jan 6 18:32:28 EST 1994 Article: 20111 of comp.ai Xref: glinda.oz.cs.cmu.edu comp.ai:20111 Newsgroups: comp.ai Path: honeydew.srv.cs.cmu.edu!fs7.ece.cmu.edu!europa.eng.gtefsd.com!howland.reston.ans.net!agate!headwall.Stanford.EDU!CSD-NewsHost.Stanford.EDU!Xenon.Stanford.EDU!toomey From: toomey@Xenon.Stanford.EDU (Christopher N Toomey) Subject: CFP: AAAI Workshop on Knowledge Discovery in Databases Message-ID: <1994Jan5.184823.5459@CSD-NewsHost.Stanford.EDU> Sender: news@CSD-NewsHost.Stanford.EDU Organization: Computer Science Department, Stanford University. Date: Wed, 5 Jan 1994 18:48:23 GMT Lines: 83 ============================================================================ C a l l F o r P a p e r s ============================================================================ KDD-94: AAAI Workshop on Knowledge Discovery in Databases Seattle, Washington, July 31-August 1, 1994 =========================================== Knowledge Discovery in Databases (KDD) is an area of common interest for researchers in machine learning, machine discovery, statistics, intelligent databases, knowledge acquisition, data visualization 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, and statistical inference. This workshop will continue in the tradition of the 1989, 1991, and 1993 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: Applications of KDD Techniques Interactive Data Exploration and Discovery Foundational Issues and Core Problems in KDD Machine Learning/Discovery in Large Databases Data and Knowledge Visualization Data and Dimensionality Reduction in Large Databases Use of Domain Knowledge and Re-use of Discovered Knowledge Functional Dependency and Dependency Networks Discovery of Statistical and Probabilistic models Integrated Discovery Systems and Theories Managing Uncertainty in Data and Knowledge Machine Discovery and Security and Privacy Issues We also invite working demonstrations of discovery systems. The workshop program will include invited talks, a demo and poster session, and panel discussions. To encourage active discussion, workshop participation will be limited. The workshop proceedings will be published by AAAI. As in previous KDD Workshops, a selected set of papers from this workshop will be considered for publication in journal special issues and as chapters in a book. Please submit 5 *hardcopies* of a short paper (a maximum of 12 single-spaced pages, 1 inch margins, and 12pt font, cover page must show author(s) full address and E-MAIL and include 200 word abstract + 5 keywords) to reach the workshop chairman on or before March 1, 1994. Usama M. Fayyad (KDD-94) | Fayyad@aig.jpl.nasa.gov AI Group M/S 525-3660 | Jet Propulsion Lab | (818) 306-6197 office California Institute of Technology | (818) 306-6912 FAX 4800 Oak Grove Drive | Pasadena, CA 91109 | ************************************* I m p o r t a n t D a t e s ********** * Submissions Due: March 1, 1994 * * Acceptance Notice: April 8, 1994 Final Version due: April 29, 1994 * ****************************************************************************** Program Committee ================= Workshop 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) Ron Brachman (AT&T Bell Laboratories) Leo Breiman (University of California, Berkeley) Nick Cercone (University of Regina, Canada) Peter Cheeseman (NASA AMES Research Center) Greg Cooper (University of Pittsburgh) Brian Gaines (University of Calgary, Canada) Larry Kerschberg (George Mason University) Willi Kloesgen (GMD, Germany) Chris Matheus (GTE Laboratories) Ryszard Michalski (George Mason University) Gregory Piatetsky-Shapiro (GTE Laboratories) Daryl Pregibon (AT&T Bell Laboratories) Evangelos Simoudis (Lockheed Research Center) Padhraic Smyth (Jet Propulsion Laboratory) Jan Zytkow (Wichita State University) ============================================================================