Mining association rules has been an important topic in data mining research in recent years from the standpoint of supporting human-centered discovery of knowledge. The present day model of mining association rules suffers from the following shortcomings: (i) lack of user exploration and control, (ii) lack of focus, (iii) huge number of rules technically unreadable. All data mining researchers, have given a high importance on developing fast algorithms for rules discovery, and have applied different types of constraints in different algorithms to prune item sets, that do not occur frequently ...