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Imen Ouled Dlala
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2020 – today
- 2024
- [j1]Jerry Lonlac, Imen Ouled Dlala, Saïd Jabbour, Engelbert Mephu Nguifo, Badran Raddaoui, Lakhdar Saïs:
On the Discovery of Frequent Gradual Patterns: A Symbolic AI-Based Framework. SN Comput. Sci. 5(7): 944 (2024) - 2023
- [c9]Jerry Lonlac, Imen Ouled Dlala, Saïd Jabbour, Engelbert Mephu Nguifo, Badran Raddaoui, Lakhdar Sais:
Extracting Frequent Gradual Patterns Based on SAT. DATA 2023: 136-143 - 2022
- [c8]Julien Martin-Prin, Imen Ouled Dlala, Nicolas Travers, Saïd Jabbour:
A Distributed SAT-Based Framework for Closed Frequent Itemset Mining. ADMA (2) 2022: 419-433 - 2021
- [c7]Amel Hidouri, Saïd Jabbour, Imen Ouled Dlala, Badran Raddaoui:
On Minimal and Maximal High Utility Itemsets Mining using Propositional Satisfiability. IEEE BigData 2021: 622-628
2010 – 2019
- 2018
- [c6]Saïd Jabbour, Fatima Ezzahra Mana, Imen Ouled Dlala, Badran Raddaoui, Lakhdar Sais:
On Maximal Frequent Itemsets Mining with Constraints. CP 2018: 554-569 - [c5]Imen Ouled Dlala, Saïd Jabbour, Badran Raddaoui, Lakhdar Sais:
A Parallel SAT-Based Framework for Closed Frequent Itemsets Mining. CP 2018: 570-587 - 2016
- [c4]Imen Ouled Dlala, Saïd Jabbour, Badran Raddaoui, Lakhdar Sais, Boutheina Ben Yaghlane:
A SAT-Based Approach for Enumerating Interesting Patterns from Uncertain Data. ICTAI 2016: 255-262 - [c3]Imen Ouled Dlala, Saïd Jabbour, Lakhdar Saïs, Boutheina Ben Yaghlane:
A Comparative Study of SAT-Based Itemsets Mining. SGAI Conf. 2016: 37-52 - 2015
- [c2]Imen Ouled Dlala, Saïd Jabbour, Lakhdar Sais, Yakoub Salhi, Boutheina Ben Yaghlane:
Parallel SAT based closed frequent itemsets enumeration. AICCSA 2015: 1-8 - [i1]Imen Ouled Dlala, Dorra Attiaoui, Arnaud Martin, Boutheina Ben Yaghlane:
Trolls Identification within an Uncertain Framework. CoRR abs/1501.05272 (2015) - 2014
- [c1]Imen Ouled Dlala, Dorra Attiaoui, Arnaud Martin, Boutheina Ben Yaghlane:
Trolls Identification within an Uncertain Framework. ICTAI 2014: 1011-1015
Coauthor Index
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last updated on 2025-01-09 13:16 CET by the dblp team
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