Finding Minimal Infrequent Elements in Multi-Dimensional Data Defined over Partially Ordered Sets and its Applications

The problem of mining association rules from large databases has emerged as an important area of research since their introduction in (Agrawal et al., 1993). Typically, the different data attributes exhibit certain correlations between them, which can be summarized in terms of certain rules, provided that enough transactions or records in the database agree with these rules. For a few examples, in a database storing sets of items purchased by different customers in a supermarket, it may be interesting to AbstrAct