Preliminary Call for Papers [Image] The Fourth International Conference on Knowledge Discovery and Data Mining--KDD-98 Sponsored by AAAI * New York, New York * August 27­30, 1998 Collocated with the Conference on Very Large Databases ---------------------------------------------------------------------------- Knowledge discovery and data mining is an area of common interest to researchers in several fields, including machine learning, statistics, databases, and data visualization. The continuing rapid growth of on-line data has created a need and an opportunity for extracting knowledge from databases. Responding to this need, researchers and application developers have created knowledge discovery applications for many areas of business and science. The fourth international conference on Knowledge Discovery and Data Mining (KDD-98) will follow on the success of previous KDD conferences. As an interdisciplinary field, KDD has made important strides by generating cross-fertilization of ideas between individual disciplines. In keeping with this theme, KDD-98 will be collocated with the Conference on Very Large Databases (VLDB-98). KDD-98 will immediately follow VLDB-98, with the goal of catalyzing discussions and interactions between researchers in the two fields. The topics of interest include, but are not limited to: Theory and Foundational Issues in KDD * Data and knowledge representation * Modeling of structured, unstructured and multimedia data * Fundamental advances in search, retrieval, and discovery methods Data Mining Methods and Algorithms * Algorithmic complexity, efficiency, and scalability issues in data mining * Data mining techniques implemented on scalable platforms, including parallel, distributed and clustered systems * High dimensional datasets and data preprocessing * Using prior domain knowledge and re-use of discovered knowledge Database-centric Data Mining * Database architectures and primitives for data mining * Integration of data warehousing, OLAP and data mining * Unification of data mining with database querying * Disk-based data mining algorithms KDD Process and Human Interaction * Models of the KDD process * Methods for evaluating subjective relevance and utility * Data and knowledge visualization * Interactive data exploration and discovery * Privacy and security Applications * Data mining systems and data mining tools * Application of KDD in business, science, medicine and engineering * Application of KDD methods for mining knowledge in text, image, audio, sensor, numeric, categorical or mixed format data * Resource and knowledge discovery using the Internet 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. Submission and Review Criteria Both research and applications papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance to KDD, novelty, significance, and clarity. Authors are encouraged to make their work accessible to readers from other disciplines by including a carefully written introduction. Papers should clearly state their relevance to KDD. As in the past, some of the accepted papers will be selected for regular presentation at the conference and others for poster presentation. All accepted papers will be published in the conference proceedings. Please submit 7 hardcopies of your paper (a maximum of 9 single-spaced pages not including cover page and bibliography, 1 inch margins, and 12point font) to be received by March 17, 1998. 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 version of the cover page must be submitted electronically by March 10 1998, using a WWW form located at www-aig.jpl. nasa.gov/kdd98/. Please mail all copies of the full papers to: AAAI (KDD-98) 445 Burgess Drive Menlo Park, CA 94025-3442 USA Phone: (650) 328-3123 Fax: (650) 321-4457 E-mail: kdd@aaai.org Web Site: http://www.aaai.org/ Conferences/KDD/1998/ Important Dates All dates are firm deadlines. We will not consider papers received after the deadline. * Electronic ASCII title page received by March 10, 1998 * 7 copies of full papers received by March 17, 1998 * Acceptance notices mailed by May 5, 1998 * Final camera-ready papers due to AAAI by June 9, 1998 Call for Tutorial Proposals KDD-97 featured an extremely strong and popular tutorial program at no extra cost to conference registrants. Continuing with the tradition started with KDD-97, KDD-98 will also offer a free tutorial program on KDD topics. The tutorials are a great way to quickly get acquainted with various KDD themes. If you are interested in giving a tutorial, please send a proposal outlining the material to be covered by February 13, 1998 to Padhraic Smyth, smyth@ics.uci.edu. Call for Panel Proposals A great panel requires an interesting topic, good speakers, and proper preparation. Please submit suggestions for panel topics and preferably also for panelists who could represent diverse positions or approaches to the topic. The panel topics should be of general interest for a large part of the KDD audience and allow several (controversial) approaches to be discussed. Please e-mail panel proposals by March 17, 1998 to Willi Kloesgen, kloesgen@gmd.de. Call for Exhibits KDD-98 program will also include demonstrations of knowledge discovery products, knowledge discovery applications and research prototypes. Please send proposals for demonstrations and exhibits by March 17, 1998 to Ismail Parsa, iparsa@epsilon.com. KDD-98 Organization General Chair: Gregory Piatetsky-Shapiro, Knowledge Stream Partners, Cambridge, MA Program Chairs: Rakesh Agrawal, IBM Almaden Research Center, San Jose, CA; and Paul Stolorz, Jet Propulsion Laboratory, Pasadena, CA Publicity Chair: Foster Provost, NYNEX, NY Tutorial Chair: Padhraic Smyth, University of California at Irvine, CA Panel Chair: Willi Kloesgen, GMD, Germany Exhibits Chair: Ismail Parsa, Epsilon, MA Local Arrangements Chair: Kyusoek Shim, Bell Laboratories, Murray Hill, NJ AAAI Liaison: Ramasamy Uthurusamy, General Motors, MI ---------------------------------------------------------------------------- This page is copyrighted by AAAI. All rights reserved. [AAAI Home Page] [Contact Information] [Search] [Join AAAI] ----------------------------------------------------------------------------