Binary Association Rule Mining Using Bayesian Network
The Trivial association rule mining which should be fixed in order to avoid both that early trivial rules is retained and also that interesting rules are not discarded. In fact the situations which use the relative comparison to express association rules are more complete than the situations that generate association rules that use the absolute comparison. The traditional concept of association rule mining will lose some information in generating association rules. The user does have to determine the degree of support and confidence thresholds before generating association rules. In the authors' paper, they proposed new approach in finding association rules.