Title: SCCQL: A constraint-based clustering system
Authors: Adam, Antoine ×
Blockeel, Hendrik
Govers, Sander
Aertsen, Abram #
Issue Date: Sep-2013
Publisher: Springer
Host Document: Lecture Notes in Computer Science vol:8190 pages:681-684
Conference: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) location:Prague date:23-27 September 2013
Abstract: This paper presents the rst version of a new inductive database system called SCCQL. The system performs constraint-based clustering on a relational database. Clustering problems are formulated with a query language, an extension of SQL for clustering that includes must-link and cannot-link constraints. The functioning of the system is explained. As an example of use of this system, an application in the context of microbioloy has been developed that is presented here.
Description: demo presentation
ISSN: 0302-9743
VABB publication type: VABB-5
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
Centre for Food and Microbial Technology
× corresponding author
# (joint) last author

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