Amel Hidouri - ATER (docteur)
Coordonnées
- poste 15 80 09
- hidouri@cril.univ-artois.fr
- idHalamel-hidouri
-
- fac
UFR des Sciences Jean Perrin
Rue Jean Souvraz SP 18
62307 Lens Cedex
France
Diplôme en cours ou obtenu en étant au CRIL
- Thèse : Contributions aux Approches par Contraintes pour la Fouille de Données 2022-12-09
Axes 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
2022 Amel Hidouri, Saïd Jabbour, Badran Raddaoui, On the enumeration of frequent high utility itemsets: a symbolic AI approach in CP 2022: 28th international conference on Principles and Practice of Constraint Programming,Leibniz-Zentrum für Informatik, vol. 235, 2022.
2022 Amel Hidouri, Saïd Jabbour, Badran Raddaoui, Mouna Chebbah, Boutheina Ben Yaghlane, A parallel declarative framework for mining high utility itemsets in IPMU 2022: 19th international conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems,Springer, vol. 1602, pp. 624–637, 2022.
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.
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, 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.
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.