International Journal of Computer Applications
There are many data mining techniques for finding association rules with the predefined minimum support from transaction databases. However, common problems with existing approaches are that an appropriate minimum support is difficult to determine and that the derived rules convey common-sense knowledge. Mining association rules without minimum support threshold is an important approximation of the association rule mining problem, which has been recently proposed. In this approach, rules are generated based on logical implications and hence fewer and more meaningful rules called coherent rules are reported.