Concise (or condensed) representations of frequent patterns follow the minimum description
length (MDL) principle, by providing the shortest description of the whole set of frequent …

Association rule mining is one of the fundamental tasks of data mining. The conventional
association rule mining algorithms, using crisp set, are meant for handling Boolean data …

A novel framework is described for mining fuzzy Association Rules (ARs) relating the
properties of composite attributes, ie attributes or items that each feature a number of values …

Association rules are used to express" interesting" relationships between items of data in a
standard enterprise database. In a temporal database, each tuple is given a start and an end …

Prioritized Qualitative Choice Logic (PQCL) is obtained from the propositional logic by
adding a new logical connective, called ordered disjunction (→×) to express user …

In this paper, a composite fuzzy association rule mining mechanism (CFARM), directed at
identifying patterns in datasets comprised of composite attributes, is described. Composite …

The interest in a further pruning of the set of frequent patterns that can be drawn from real-
life datasets is growing up. In fact, it is a quite survival reflex towards providing a …

This paper presents an approach for mining fuzzy Association Rules (ARs) relating the
properties of composite items, ie items that each feature a number of values derived from a …

Extracting concise representations seems to be a milestone towards the emerging
knowledge extraction field. In fact, it is a quite survival reflex towards providing a …