ABSTRACT
The amount of data speedily proliferates. Consequently, the excessive number of extracted association
greatly prohibits to better assist the decision maker. In this respect, backboned on the Formal
Concept Analysis, we propose to extend the notion of Formal Concept through the generalization
of the notion of itemset aiming to consider the itemset as an intent, its support as the cardinality of
the extent. Accordingly, we propose a new approach to extract frequent itemsets using the coverage
concept. In fact, this contribution is based on a quality-criterion of a rule namely the profit which
expressively improves the classical formal concept analysis through the addition of semantic value to
derive highly significant association rules.