International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 49 - Number 20 |
Year of Publication: 2012 |
Authors: Wafa Tebourski, Wahiba Ben Abdesslem Karaa |
10.5120/7889-1253 |
Wafa Tebourski, Wahiba Ben Abdesslem Karaa . Cyclic Association Rules Mining under Constraints. International Journal of Computer Applications. 49, 20 ( July 2012), 30-37. DOI=10.5120/7889-1253
Several researchers have explored the temporal aspect of association rules mining. In this paper, we focus on the cyclic association rules, in order to discover correlations among items characterized by regular cyclic variation overtime. The overview of the state of the art has revealed the drawbacks of proposed algorithm literatures, namely the excessive number of generated rules which are not meeting the expert's expectations. To overcome these restrictions, we have introduced our approach dedicated to generate the cyclic association rules under constraints through a new method called Constraint-Based Cyclic Association Rules CBCAR. The carried out experiments underline the usefulness and the performance of our new approach.