Mining first-order frequent patterns in the STULONG database

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Authors

BLAŤÁK Jan

Year of publication 2004
Type Article in Proceedings
Conference Proceedings of ECML/PKDD Discovery Challenge 2004
MU Faculty or unit

Faculty of Informatics

Citation
web http://lisp.vse.cz/challenge/ecmlpkdd2004/final/blatak.pdf
Field Informatics
Keywords frequent patterns; relational data mining; STULONG
Description We show how RAP can be employed to answer questions concerning relations in the database STULONG. RAP is a system of inductive logic programming which is designed to search long first-order frequent patterns and association rules. The STULONG database contains information about atherosclerosis in the population of middle-aged men.We define several types of the background knowledge and outline the influence of their complexity on mining patterns.We describe the found rules and explain their meaning.
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