SCCQL : A Constraint-Based Clustering System.

Antoine Adam,Hendrik Blockeel,Sander Govers,Abram Aertsen

ECMLPKDD'13: Proceedings of the 2013th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III（2013）

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摘要

This paper presents the first version of a new inductive data-base 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 microbiology has been developed that is presented here.

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