Inproceedings,

Deriving Queries From Examples Using Genetic Programming

, and .
The Second International Conference on Knowledge Discovery and Data Mining (KDD-96), page 303--306. Portland, Oregon, USA, AAAI Press, (August 1996)

Abstract

This paper centers on the problem of extracting intensional information for a set of objects from an object-oriented database. In our approach, the extracted intensional information for the given set of objects are described by object- oriented queries that compute this set of objects. The paper discusses the architecture of a knowledge discovery system, called MASSON, which employs genetic programming to find such queries, moreover, we will show how interesting queries that describe commonalities within a set of objects are automatically generated, modified, evaluated, and selected; we will also discuss how the search for the "best" query is conducted by the MASSON system. We also report on an experiment that evaluated the knowledge discovery capability of MASSON.

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