KDD Nuggets 94:5, 1994-03-02 Contents: * R. Uthurusamy: March 18, 1994 new submission date for KDD-94 Workshop * Gregory Piatetsky-Shapiro: reviews of ComputerWorld-- "Data Warehousing: Hot Property, Tough Sell" AI Expert -- "Mining for Financial Knowledge with CBR" * Will Dwinnell: Database Programming & Design -- "Data Mining: Tapping the Mother Lode" The KDD Nuggets is a moderated list for the exchange of information relevant to Knowledge Discovery in Databases (KDD), e.g. application descriptions, conference announcements, tool reviews, information requests, interesting ideas, outrageous opinions, etc. Contributions to kdd@gte.com; Add/delete requests to kdd-request@gte.com -- Gregory Piatetsky-Shapiro (moderator) ------------------------------------ Date: Tue, 01 Mar 1994 15:52:32 -0500 (EST) From: "R. Uthurusamy" Subject: March 18 is the new KDD-94 Workshop paper submission deadline Note: March 18, 1994 is the new paper submission date for KDD-94 Workshop -------------- since AAAI has published this later deadline and we intend to honor it. You are encouraged to submit earlier if at all possible. Thanks. -- sam ============================================================================ 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 18, 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) ============================================================================ ------------------------------------ Date: Mon, 28 Feb 94 From: gps@gte.com (Gregory Piatetsky-Shapiro) Subject: Articles on Data Mining == ComputerWorld: "Data warehousing: Hot Property, tough sell" Craig Stedman has an article in CW (Feb 21, 1994, p. 20) entitled "Data warehousing: Hot Property, tough sell". The article argues that while interest in data warehousing appears to be spreading rapidly, IS executives are still looking for ways to sell their companies on the central repository concept. Attendees at the Data Warehousing Conference (Orlando, FL, Feb 15-17, 1994) said the lack of tangible benefits such as the head-count reductions or time savings pushes most IS organizations to start with small warehouse demonstration projects. An IS executive at Bank of Boston said "I don't think you can go out and justify [Data warehousing] from a cost-savings point of view. It's more the opportunities that it creates for you". Despite the difficulties, the trend is clear: a recent Meta Group Inc. survey of its clients showed that 90% of respondents had warehouse projects in the works in Feb 1994, a meteoric rise from 5% in Feb 1993. == Paul Buta, "Mining for Financial Knowledge with CBR", AI Expert, Feb 94 Gives a general overview of data mining and describes an application of CBR to corporate bond rating. Compares CBR approach with statistical, neural network, and rule-based methods. Results on a 2000-case database: after training on a 90% of cases, CBR system matched S&P rating on 90% of unseen cases. Results were especially good when 100 or more cases were available for training. ------------------------------------ From: Will Dwinnell Newsgroups: comp.ai Subject: Re: References for Knowledge Discovery/Data Mining/etc Date: Tue, 1 Mar 94 18:23:13 -0500 X-To: Suresh Subramanian Suresh: There is an article titled "Data Mining: Tapping the Mother Lode" which appears in the current (Feb 94) issue of "Database Programming & Design", by Lisa Lewison. Three of the products she mentions which are suitable for database mining will be reviewed in the June issue of "AI Expert". Will Dwinnell