Data mining approach using machine-oriented modeling: finding association rules using canonical names
Eric K. Louie, Tsau Young Lin · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
An attribute value, in a relational model, is a meaningful label of a collection of objects; the collection is referred to as a granule of the universe of discourse. The granule itself can be regarded a label of the collection (granule); it will be referred to as the canonical name of the granule. A relational model using these canonical names themselves as attribute values (their bit patterns or lists of members) is called a machine oriented data model. For moderate size databases, finding association rules, decision rules, and etc., are reduced to easy computation of set theoretical operations of these collections. In this paper, a very fast computing algorithm is presented.