3 citations · 5 across the 5 of their papers we have counts for
6 papers
Exploiting complex pattern features for interactive pattern mining
Arnold Hien, Samir Loudni, Noureddine Aribi +2
Recent years have seen a shift from a pattern mining process that has users define constraints before-hand, and sift through the results afterwards, to an interactive one. This new…
An efficient heuristic approach combining maximal itemsets and area measure for compressing voluminous table constraints
Soufia Bennai, Kamala Amroun, Samir Loudni +1
Constraint Programming is a powerful paradigm to model and solve combinatorial problems. While there are many kinds of constraints, the table constraint is perhaps the most signifi…
Boosting the Learning for Ranking Patterns
Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar +2
Discovering relevant patterns for a particular user remains a challenging tasks in data mining. Several approaches have been proposed to learn user-specific pattern ranking functio…
A global constraint for closed itemset mining
Mehdi Maamar, Nadjib Lazaar, Samir Loudni +1
Discovering the set of closed frequent patterns is one of the fundamental problems in Data Mining. Recent Constraint Programming (CP) approaches for declarative itemset mining have…
Prefix-Projection Global Constraint for Sequential Pattern Mining
Amina Kemmar, Samir Loudni, Yahia Lebbah +2
Sequential pattern mining under constraints is a challenging data mining task. Many efficient ad hoc methods have been developed for mining sequential patterns, but they are all su…
Discovering Knowledge using a Constraint-based Language
Patrice Boizumault, Bruno Crémilleux, Mehdi Khiari +2
Discovering pattern sets or global patterns is an attractive issue from the pattern mining community in order to provide useful information. By combining local patterns satisfying…