Frequent association rules (e.g., AB C to say that when properties A and B are true in a record then, C tends to be also true) have become a popular way to summarize huge datasets...
Building predictive models and finding useful rules are two important tasks of data mining. While building predictive models has been well studied, finding useful rules for action...
In this paper we study two orthogonal extensions of the classical data mining problem of mining association rules, and show how they naturally interact. The first is the extension...