Domain knowledge to support the discovery process: constraints

Authors:
Willi Klösgen
Affiliations:
Principal Researcher, Fraunhofer Institute for Autonomous Intelligent Systems, Sankt Augustin, Germany
Venue:
Handbook of data mining and knowledge discovery
Year:
2002

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Abstract

We define constraints as conditions restricting a set of options in order to exclude unreasonable or useless options from being selected by a user or a method. More specifically, we focus on constraints for search tasks performed in the data mining step and describe several types of constraints that restrict large hypotheses spaces. We discuss syntactic constraints, domain, quality, and redundancy constraints, analyzing how they improve search efficiency and contribute to finding interesting results.