C a l l F o r P a p e rs

The Second International Conference on Knowledge Discovery and Data Mining (KDD-96)

Portland, Oregon, USA, August 2-4, 1996

Sponsored by AAAI and Collocated with AAAI-96 and UAI-96

Knowledge Discovery in Databases (KDD), also referred to as Data Mining, is an area of common interest to researchers in machine discovery, statistics, databases, knowledge acquisition, machine learning, data visualization, high performance computing, and knowledge-based systems. The rapid growth of data and information has 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.

The first international conference on Knowledge Discovery and Data Mining (KDD-95), held in Montreal in August 1995, was an outstanding success, attracting over 340 participants. The second international conference will follow up the success of KDD-95 by bringing together researchers and application developers from different areas focusing on unifying themes. The topics of interest include, but are not limited to:

Theory and Foundational Issues in KDD:
Data and knowledge representation for KDD
Probabilistic modeling and uncertainty management in KDD
Modeling of structured, unstructured and multimedia data
Metrics for evaluation of KDD results
Fundamental advances in search, retrieval, and discovery methods
Definitions, formalisms, and theoretical issues in KDD

Data Mining Methods and Algorithms:
Algorithmic complexity, efficiency and scalability issues in data mining
Probabilistic and statistical models and methods
Using prior domain knowledge and re-use of discovered knowledge
Parallel and distributed data mining techniques
High dimensional datasets and data preprocessing
Unsupervised discovery and predictive modeling

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.


DEMONSTRATION SESSIONS:

KDD-96 also invites working demonstrations of discovery systems. Exact details on how to arrange a demo at KDD-96 will be forthcoming.


BEST PAPER AWARDS:

Two papers, one on research and one on applications, will be selected by the Program Committee for the best paper awards for KDD'96. In addition, a selected set of papers, after being extended to journal length and quality, will be considered for publication in the new journal, Journal of Data Mining and Knowledge Discovery.


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.

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) to be received by March 18, 1996. 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 should be sent electronically via email to kdd96@almaden.ibm.com by March 18th 1995 (preferably earlier for e-mail). For the electronic title page, authors are required to use the template made available by ftp. Click here to get the template.

Please mail the 5 hardcopies of the full papers to :
AAAI (KDD-96)
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


************** I m p o r t a n t D a t e s ****************
5 copies of full papers received by: March 18, 1996
(in addition to an electronic ASCII title page)
Acceptance notices: April 19, 1996
Final camera-readies due to AAAI by: May 20, 1996
****************************************************

Program Co-chairs:

Evangelos Simoudis, IBM Almaden Research Center
Jia Wei Han, Simon Fraser University

KDD-96 Organization:

General Conference Chair: Usama M. Fayyad, Microsoft Research
KDD-96 Publicity Chair: Padhraic Smyth, Jet Propulsion Laboratory
KDD Sponsorship Chair: Gregory Piatetsky-Shapiro, GTE 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              (Thinkbank, Inc., USA)
	Nick Cercone		  (University of Regina, Canada)
        Peter Cheeseman           (NASA AMES Research Center, USA)
	Bruce Croft               (University of Massachusetts at Amherst, USA)
        Stephen G. Eick           (AT&T Bell Laboratories, USA)
        Usama Fayyad              (Microsoft Research, USA)
        Clark Glymour             (Carnegie-Mellon University, USA) 
        George Grinstein          (University of Lowell, USA)
        David Hand                (Open University, UK)
        David Heckerman           (Microsoft Research, USA)
        Se June Hong              (IBM T.J. Watson Research Center, USA)
        Tomasz Imielinski         (Rutgers University, USA)
        Larry Jackel              (AT&T Bell Laboratories, USA)
        Larry Kerschberg          (George Mason University, USA)
        Willi Kloesgen            (GMD, Germany)
        David Madigan             (University of Washington, USA)
        Heikki Mannila            (University of Helsinki, Finland)
        Chris Matheus             (GTE Laboratories, USA)
        Sham Navathe              (Georgia Institute of Technology, USA)
        Raymond Ng                (University of British Columbia, Canada)
        Gregory Piatetsky-Shapiro (GTE Laboratories, USA)
        Daryl Pregibon            (AT&T Bell Laboratories, USA)
        Pat Riddle                (Boeing Computer Services, USA)
        Ted Senator               (US Department of the Treasury, USA)
        Wei-Min Shen              (University of Southern California, USA)
        Arno Siebes               (CWI, Netherlands)
        Avi Silberschatz          (AT&T Bell Laboratories)
        Andrzej Skowron           (University of Warsaw, Poland)
        Steve Smith               (Dun and Bradstreet, USA)
        Padhraic Smyth            (Jet Propulsion Laboratory, USA)
        Ramakrishnan Srikant      (IBM Almaden Research Center, USA)
        Sal Stolfo                (Columbia University, USA)
        Alex Tuzhilin             (NYU Stern School, USA)
        Ramasamy Uthurusamy       (General Motors R&D Center, USA)
        Xindong Wu                (Monash University, Australia)
        Wojciech Ziarko           (University of Regina, Canada)
        Jan Zytkow                (Wichita State University, USA)

FURTHER INFORMATION:

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