Third International Workshop on
Knowledge Discovery in Inductive Databases
KDID 2004
20 September 2004, Pisa, Italy
in conjunction with ECML/PKDD 2004: The 15th
European Conference on Machine Learning (ECML) and
The 8th European Conference
on Principles and Practice of Knowledge Discovery
in Databases (PKDD), 20-24 September, 2004, Pisa,
Italy.
Chairs
Abstract
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 two workshops:
KDID'02
held in Helsinki, Finland, and
KDID'03
held in Cavtat-Dubrovnik, Croatia.
Refereed post-workshop proceedings will be published by Springer
in the Lecture Notes in Computer Science (LNCS).
Important Dates
- Submission deadline: July 2
- Notification of acceptance: July 23
- Camera-ready copies due: August 6
For post-workshop proceedings:
- Submission deadline: September 3
- Notification of acceptance: September 20
- Camera-ready copies due: September 29
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