Abstract
The need for learning from databases has increased along with their number and size. The new field of Knowledge Discovery in Databases (KDD) develops methods that discover relevant knowledge in very large databases. Machine learning, statistics, and database methodology contribute to this exciting field. In this paper, the discovery of knowledge in the form of Horn clauses is described. A case study of directly coupling an inductive logic programming (ILP) algorithm with a database system is presented.
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© 1997 Springer-Verlag Berlin Heidelberg
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Morik, K. (1997). Knowledge discovery in databases — An inductive logic programming approach. In: Freksa, C., Jantzen, M., Valk, R. (eds) Foundations of Computer Science. Lecture Notes in Computer Science, vol 1337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0052111
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DOI: https://doi.org/10.1007/BFb0052111
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