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Rahma Djiroun
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2020 – today
- 2024
- [j4]Rahma Djiroun, Meriem Amel Guessoum, Kamel Boukhalfa, Elhadje Benkhelifa:
Natural language why-question answering system in business intelligence context. Clust. Comput. 27(8): 11039-11067 (2024) - 2023
- [c6]Rahma Djiroun, Lilia Yasmine Lachachi, Noufel Fares Eddine Azzouni, Meriem Amel Guessoum, Kamel Boukhalfa, Elhadj Benkhelifa:
Search Approach for External Data Sources for Data Warehouse Enrichment in Business Intelligence Context. AICCSA 2023: 1-8 - 2022
- [j3]Meriem Amel Guessoum, Rahma Djiroun, Kamel Boukhalfa, Elhadj Benkhelifa:
Natural language why-question in Business Intelligence applications: model and recommendation approach. Clust. Comput. 25(6): 3875-3898 (2022) - [c5]Meriem Amel Guessoum, Rahma Djiroun, Kamel Boukhalfa:
Causality Analysis Method and Model Related to Why-Question Answering in Business Intelligence Context. CSA 2022: 15-26 - 2021
- [c4]Rahma Djiroun, Meriem Amel Guessoum, Kamel Boukhalfa, Elhadj Benkhelifa:
Towards an OLAP Cubes Recommendation Approach in Cloud Computing Environment. SNAMS 2021: 1-6
2010 – 2019
- 2019
- [j2]Rahma Djiroun, Kamel Boukhalfa, Zaia Alimazighi:
Designing data cubes in OLAP systems: a decision makers' requirements-based approach. Clust. Comput. 22(3): 783-803 (2019) - [j1]Rahma Djiroun, Kamel Boukhalfa, Zaia Alimazighi:
Data cubes retrieval and design in OLAP systems: from query analysis to visualisation tool. Int. J. Bus. Intell. Data Min. 14(1/2): 267-298 (2019) - 2017
- [c3]Rahma Djiroun, Meriem Amel Guessoum, Kamel Boukhalfa, Elhadj Benkhelifa:
A Novel Cloud Services Recommendation System Based on Automatic Learning Techniques. AICCSA 2017: 598-605 - 2016
- [c2]Rahma Djiroun, Kamel Boukhalfa, Zaia Alimazighi, Faten Atigui, Sandro Bimonte:
A data cube design and construction methodology based on OLAP queries. AICCSA 2016: 1-8 - 2015
- [c1]Rahma Djiroun, Sandro Bimonte, Kamel Boukhalfa:
A First Framework for Top-K Cubes Queries. ER Workshops 2015: 187-197
Coauthor Index
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last updated on 2024-09-26 01:51 CEST by the dblp team
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