[Bioforum] CFP: KDID 2005

Francesco Bonchi francesco.bonchi at isti.cnr.it
Mon Jun 27 08:23:27 EST 2005


      4th International Workshop on
 Knowledge Discovery in Inductive Databases

     October 3, 2005, Porto, Portugal

    In conjunction with ECML/PKDD 2005


        (deadline: July 25, 2005)

Scope & Objectives

Ever since the start of the field of data mining, it has been realized
that the knowledge discovery and data mining process should be
integrated into database technology. This idea has been formalized in
the concept of inductive databases, introduced by Imielinski and
Mannila (CACM 1996, 39(11)).

In general, an inductive database is a database that supports data
mining and the knowledge discovery process in a natural and elegant
way. In addition to the usual data, it also contains inductive
generalizations (e.g. patterns, models) extracted from the
data. Within this framework, knowledge discovery is an interactive
process in which users can query the inductive database to gain
insight to the data and the patterns and models within that data.

Despite many recent developments, there still exists a pressing need
to understand the central issues in inductive databases. This workshop
aims to bring together Database and Data Mining researchers and
practitioners that are interested in the numerous challenges that
inductive databases offers.

This workshop follows the previous three workshops: KDID'02 held in
Helsinki, Finland, KDID'03 held in Cavtat-Dubrovnik, Slovenia, and
KDID'04 held in Pisa, Italy.

Topics of interest

(non-exhaustive list)

* Models and theories of inductive databases
* Query languages for data mining
* Constraint-based data mining
* Local pattern detection
* Condensed representations of data and patterns
* Pattern languages and primitives for data mining
* Declarative bias formalisms in machine learning
* Database support, coupling and primitives for data mining
* Coupling data mining and database systems
* Integration of database languages (e.g., SQL, XML) with data mining
* Privacy issues in inductive databases
* Specific and application-oriented inductive databases

Important Dates

* Submission deadline: July 25
* Notification of acceptance: August 15
* Camera-ready copies due: September 5
* Workshop: October 3

Submission Guidelines

Full papers must be submitted electronically to kdid05 at isti.cnr.it
on or before July 25, 2005. Authors are required to submit a version of
their full papers in camera-ready format. The papers must be in
English and should be formatted according to the Springer-Verlag
Lecture Notes in Artificial Intelligence guidelines. Authors
instructions and style files can be downloaded at
http://www.springer.de/comp/lncs/authors.html. The maximum length of
papers is 12 pages.

All papers must be submitted in PDF format. It is the responsibility
of the authors to ensure that the submitted papers print correctly on
a variety of printers. Finally, all papers must be original, and have
not been submitted elsewhere and are not under submission elsewhere.


Workshop proceedings will be made available on CD and informal printed
proceedings will be available at the workshop.

Refereed post-workshop proceedings will be formally published (pending
confirmation by Springer-Verlag).

Workshop Chairs

* Francesco Bonchi, KDD Lab, ISTI-C.N.R., Pisa, Italy
* Jean-François Boulicaut, INSA Lyon, France

Program Committee

* Hendrik Blockeel, K.U.Leuven, Belgium
* Toon Calders, University of Antwerp, Belgium
* Saso Dzeroski, Jozef Stefan Institute, Slovenia
* Minos N. Garofalakis, Bell Labs, USA
* Fosca Giannotti, KDD Lab, ISTI-C.N.R., Pisa, Italy
* Bart Goethals, University of Antwerp, Belgium
* Dominique Laurent, LICP,Université de Cergy-Pontoise, France
* Giuseppe Manco, ICAR-C.N.R., Cosenza, Italy
* Heikki Mannila, HIIT - BRU, University of Helsinki, Finland
* Rosa Meo, University of Turin, Italy
* Taneli Mielikäinen, HIIT - BRU, University of Helsinki, Finland
* Katharina Morik, University of Dortmund, Germany
* Celine Robardet, INSA Lyon, France
* Sunita Sarawagi, IIT Bombay, India
* Arno Siebes, Utrecht University, The Netherlands
* Mohammed Zaki, Rensselaer Polytechnic Institute, USA
* Carlo Zaniolo, UCLA, USA

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