Fourth International Workshop on Knowledge Discovery in Inductive Databases KDID 2005

3 October 2005, Porto, Portugal

in conjunction with ECML/PKDD 2005: The 16th European Conference on Machine Learning (ECML) and The 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 3-7 October, 2005, Porto, Portugal.

Post-workshop proceedings:

F. Bonchi, JF. Boulicaut Knowledge Discovery in Inductive Databases: 4th International Workshop, KDID 2005, Porto, Portugal, October 3, 2005, Revised Selected and Invited Papers, Lecture Notes in Computer Science, Volume 3933, İSpringer, 2006.

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,  KDID'03 held in Cavtat-Dubrovnik, Croatia, and KDID'04 held in Pisa, Italy.

Important Dates