Amel Hidouri View the directory of former members
Personal Data
- poste 15 80 09
- hidouri@cril.univ-artois.fr
- idHalamel-hidouri
Degree prepared or obtained while being at CRIL
- PhD thesis : Contributions to Constraint-based Approaches for Data Mining 2022-12-09
Research Axes
- Data
- Constraints
Publications
International journals
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.
International conferences
2023 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 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.
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.
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.