Amel Hidouri Annuaire des anciens membres
Coordonnées
- poste 15 80 09
- hidouri@cril.univ-artois.fr
- idHalamel-hidouri
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
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Projet récent
- Emergence INS2I CACEM 2021
Publications
Articles de revues internationales
2021 Données 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
2023 Données Amel Hidouri, Badran Raddaoui, Said Jabbour, Targeting Minimal Rare Itemsets from Transaction Databases in Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23},International Joint Conferences on Artificial Intelligence Organization, pp. 2114-2121, 2023.
2022 Données 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 Données 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 Données 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 Données 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 Données 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 Données 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 (DaWaK),Springer, Cham, vol. 12393, pp. 91–106, 2020.