Amel Hidouri - Doctorant
Coordonnées
- poste 15 80 09
- hidouri@cril.univ-artois.fr
-
- fac
UFR des Sciences Jean Perrin
Rue Jean Souvraz SP 18
62307 Lens Cedex
France
Diplôme(s) en cours ou obtenu(s) en étant au CRIL
Axe(s) de recherche
- Données
- Contraintes
Publications
Articles de revues internationales
2021 Amel Hidouri, Said Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane, Mining closed high utility itemsets based on propositional satisfiability in Data and Knowledge Engineering,vol. 136, n° 101927:1-101927:15, 2021.
Articles de conférences internationales
2021 Amel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui, On minimal and maximal high utility itemsets mining using propositional satisfiability in BIGDATA 2021: IEEE International Conference on Big Data,IEEE, pp. 622-628, 2021.
2021 Amel Hidouri, Saïd Jabbour, Jerry Lonlac, Badran Raddaoui, A constraint-based approach for enumerating gradual itemsets in ICTAI 2021: 33rd IEEE International Conference on Tools with Artificial Intelligence,IEEE, pp. 582-589, 2021.
2021 Amel Hidouri, Said Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane, A declarative framework for mining Top-k high utility itemsets in DaWaK 2021: 23rd international conference on Big Data Analytics and Knowledge Discovery,Springer, pp. 250-256, 2021.
2020 Amel Hidouri, Said Jabbour, Badran Raddaoui, Boutheina Ben Yaghlane, A SAT-Based Approach for Mining High Utility Itemsets from Transaction Databases in International Conference on Big Data Analytics and Knowledge Discovery,2020.