Mining first-order frequent patterns in the STULONG database
| Authors | |
|---|---|
| Year of publication | 2004 |
| Type | Article in Proceedings |
| Conference | Proceedings of ECML/PKDD Discovery Challenge 2004 |
| MU Faculty or unit | |
| 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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