Mehdi Maamar

According to our database, Mehdi Maamar authored at least 9 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Segmented Tables: An Efficient Modeling Tool for Constraint Reasoning.

Gilles Audemard, Christophe Lecoutre, Mehdi Maamar

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

A Multiple Fault Localization Approach Based on Multicriteria Analytical Hierarchy Process.

Noureddine Aribi, Nadjib Lazaar, Yahia Lebbah, Samir Loudni, Mehdi Maamar

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018

Users Constraints in Itemset Mining.

Christian Bessiere, Nadjib Lazaar, Yahia Lebbah, Mehdi Maamar

CoRR, 2018

User's Constraints in Itemset Mining.

Christian Bessiere, Nadjib Lazaar, Mehdi Maamar

Proceedings of the Principles and Practice of Constraint Programming, 2018

2017

Fouille de motifs basée sur la programmation par contraintes - Appliquée à la validation de logiciels. (Patterns mining under constraints - applied for software testing).

Mehdi Maamar

PhD thesis, 2017

Fault localization using itemset mining under constraints.

Mehdi Maamar, Nadjib Lazaar, Samir Loudni, Yahia Lebbah

Autom. Softw. Eng., 2017

Multiple Fault Localization Using Constraint Programming and Pattern Mining.

Noureddine Aribi, Mehdi Maamar, Nadjib Lazaar, Yahia Lebbah, Samir Loudni

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

A global constraint for closed itemset mining.

Mehdi Maamar, Nadjib Lazaar, Samir Loudni, Yahia Lebbah

CoRR, 2016

A Global Constraint for Closed Frequent Pattern Mining.

Nadjib Lazaar, Yahia Lebbah, Samir Loudni, Mehdi Maamar, Valentin Lemière, Christian Bessiere, Patrice Boizumault

Proceedings of the Principles and Practice of Constraint Programming, 2016