A multi-relational rule discovery system

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2003

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Springer-verlag Berlin

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Abstract

This paper describes a rule discovery system that has been developed as part of an ongoing research project. The system allows discovery of multi-relational rules using data from relational databases. The basic assumption of the system is that objects to be analyzed are stored in a set of tables. Multi-relational rules discovered would either be used in predicting an unknown object attribute value, or they can be used to see the hidden relationship between the objects' attribute values. The rule discovery system, developed, was designed to use data available from any possible 'connected' schema where tables concerned are connected by foreign keys. In order to have a reasonable performance, the 'hypotheses search' algorithm was implemented to allow construction of new hypotheses by refining previously constructed hypotheses, thereby avoiding the work of re-computing.

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Tolun, Mehmet Resit/0000-0002-8478-7220

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Q3

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18th International Symposium on Computer and Information Sciences (ISCIS 2003) -- NOV 03-05, 2003 -- ANTALYA, TURKEY

Volume

2869

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Start Page

252

End Page

259

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