5 citations · 5 across the 4 of their papers we have counts for
4 papers
Boosting the Learning for Ranking Patterns
Nassim Belmecheri, Noureddine Aribi, Nadjib Lazaar +2
Pattern mining is a valuable tool for exploratory data analysis, but identifying relevant patterns for a specific user is challenging. Various interestingness mea- sures have been…
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…
Frequent Itemset Mining with Multiple Minimum Supports: a Constraint-based Approach
Mohamed-Bachir Belaid, Nadjib Lazaar
The problem of discovering frequent itemsets including rare ones has received a great deal of attention. The mining process needs to be flexible enough to extract frequent and rare…
Partial Queries for Constraint Acquisition
Christian Bessiere, Clement Carbonnel, Anton Dries +8
Learning constraint networks is known to require a number of membership queries exponential in the number of variables. In this paper, we learn constraint networks by asking the us…