The original deadline for submitting papers to the 1997 Principles of
Knowledge Discovery in Databases was Wednesday, February 5. We have
decided to extend this deadline. PKDD-97 papers are now due on
Monday, February 17, 1997
Notice of acceptance: March 17
Camera ready copies: April 4
Submit by email (preferred) to pkdd97@idt.ntnu.no or by airmail to
Jan Komorowski
Department of Computer Systems
Norwegian University of Science and Technology
7034 Trondheim, Norway
Papers should be in English and not exceed ten single-spaced pages of
12pt font. The first page should begin with title, authors,
affiliations, surface and e-mail addresses, and an abstract of about
200 words.
The proceedings of the Symposium will be published in the Springer
Verlag Lecture Notes AI Series (www.springer.de/comp/comp.html) and
available at PKDD-97, June 25-27.
Watch the updated PKDD'97 WWW page for further details:
http://www.idt.ntnu.no/pkdd97
If you have already sent off your paper but would like to resubmit by
the new deadline, please send email to pkdd97@idt.ntnu.no
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PKDD'97 -- 1st European Symposium on Principles of
Data Mining and Knowledge Discovery
Trondheim, Norway
June 25-27, 1997
Program Committee Introduction
* Pieter Adriaans Data Mining and Knowledge Discovery (KDD)
* Attilio Giordana have recently emerged from a combination of
* David Hand many research areas: databases, statistics,
* Bob Henery machine learning, automated scientific
* Mikhail Kiselev discovery, inductive programming, artificial
* Willi Kloesgen intelligence, visualization, decision
* Yves Kodratoff science, and high performance computing.
* Jan Komorowski
* Heikki Manilla While each of these areas can contribute in
* Marjorie Moulet specific ways, KDD focuses on the value that
* Steve Muggleton is added by creative combination of the
* Zdzislaw Pawlak contributing areas. The goal of PKDD'97 is
* Gregory to provide a European-based forum for
Piatetsky-Shapiro interaction among all theoreticians and
* Zbigniew Ras practitioners interested in data mining.
* Lorenza Saitta Fostering an interdisciplinary collaboration
* Erik Sandewall is one desired outcome, but the main
* Wei-Min Shen long-term focus is on theoretical principles
* Arno Siebes for the emerging discipline of KDD,
* Andrzej Skowron especially those new principles that go
* Derek Sleeman beyond each of the contributing areas.
* Shusaku Tsumoto
* Raul Valdes-Perez To promote these goals, PKDD'97 will be
* Rudiger Wirth organized into tracks around the key areas
* Stefan Wrobel contributing to KDD. For each area an ideal
* Wojtek Ziarko paper should focus on how its methods
* Jan Zytkow advance KDD's goals and principles.
Both theoretical and applied submissions are
sought. Reviewers will assess the
contribution towards the main goals of
PKDD'97, in addition to the usual
requirements of novelty, clarity and
significance. Applied papers should go
beyond an individual application, presenting
an explicit method that promises a degree of
generality within some stage of the
discovery process, such as preprocessing,
mining, visualization, use of prior
knowledge, knowledge refinement, and
evaluation. Theoretical papers should
demonstrate how they advance the process of
data mining and knowledge discovery.
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