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ORCIDRania Mkhinini Gahar
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- affiliation: University of Tunis El Manar, OASIS, Tunisia
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2020 – today
- 2024
[j2]Adel Hidri, Rania Mkhinini Gahar
, Minyar Sassi Hidri:
What factors distinguish overlapping Data job postings? Towards ML-based models for job category's factors prediction. Intell. Decis. Technol. 18(3): 2161-2176 (2024)- [c4]Rania Mkhinini Gahar, Olfa Arfaoui, Adel Hidri, Suleiman Ali Alsaif, Minyar Sassi Hidri:
STARM: STreaming Association Rules Mining in High-Dimensional Data. AINA (2) 2024: 136-146 - [i4]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri:
Open Research Issues and Tools for Visualization and Big Data Analytics. CoRR abs/2404.12505 (2024) - 2023
- [i3]Rania Mkhinini Gahar, Adel Hidri, Minyar Sassi Hidri:
Let's Predict Who Will Move to a New Job. CoRR abs/2309.08333 (2023) - [i2]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri:
Towards Big Data Modeling and Management Systems: From DBMS to BDMS. CoRR abs/2309.08362 (2023)
2010 – 2019
- 2019
- [j1]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri, Nejib Ben Hadj-Alouane:
A Distributed Approach for High-Dimensionality Heterogeneous Data Reduction. IEEE Access 7: 151006-151022 (2019) - [c3]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri, Nejib Ben Hadj-Alouane:
Vers une approche heuristique distribuée à base d'ontologie pour la fouille des règles d'association dans les données massives. EGC 2019: 377-378 - 2018
- [c2]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri, Nejib Ben Hadj-Alouane:
An Ontology-driven MapReduce Framework for Association Rules Mining in Massive Data. KES 2018: 224-233 - 2017
- [c1]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri, Nejib Ben Hadj-Alouane:
ParallelCharMax: An Effective Maximal Frequent Itemset Mining Algorithm Based on MapReduce Framework. AICCSA 2017: 571-578 - [i1]Rania Mkhinini Gahar, Olfa Arfaoui, Minyar Sassi Hidri, Nejib Ben Hadj-Alouane:
Dimensionality reduction with missing values imputation. CoRR abs/1707.00351 (2017)
Coauthor Index
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