SAFCALM: Enhanced Semantic Approach based on Formal Concept Analysis and Lift Measure.
The volume of stored data increases rapidly. Therefore, the battery of extracted association heavily prohibits the better support of the decision maker. In this context, 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 interesting itemsets through the concept coverage. This approach uses an original qualitycriterion of a rule namely the profit improving the classical formal concept analysis through the addition of semantic value in order to extract meaningful association rules.
association rules formal concept analysis quality measure
Ourida Ben Boubaker Saidi
Computer Science department, Higher Institute of Management, Tunis, Tunisia
国际会议
昆明
英文
161-165
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）