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Mining Triadic Association Rules

Authors

Sid Ali Selmane1, Rokia Missaoui2, Omar Boussaid1 and Fadila Bentayeb1, 1Universite Lumiere Lyon, France and 2'Universite du Quebec, Canada

Abstract

The objective of this research is to extract triadic association rules from a triadic formal context K := (K1, K2, K3, Y) where K1, K2 and K3 respectively represent the sets of objects, properties (or attributes) and conditions while Y is a ternary relation between these sets. Our approach consists to define a procedure to map a set of dyadic association rules into a set of triadic ones. The advantage of the triadic rules compared to the dyadic ones is that they are less numerous and more compact than the second ones and convey a richer semantics of data. Our approach is illustrated through an example of ternary relation representing a set of Customers who purchase theirProducts from Suppliers. The algorithms and approach proposed have been validated with experimentations on large real datasets.

Keywords

Formal Concept Analysis, Galois lattice, triadic association rules.

Full Text  Volume 3, Number 8