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ORCIDMohamed Aymen Ben HajKacem
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2020 – today
- 2024
[j8]Chiheb-Eddine Ben N'cir, Mohamed Aymen Ben HajKacem, Mohammed Alatas:
Explainable Spark-based PSO Clustering for Intrusion Detection. Comput. Sci. 25(2) (2024)- [j7]Chiheb-Eddine Ben N'cir
, Mohamed Aymen Ben HajKacem, Mohammed Alattas:
Enhancing intrusion detection performance using explainable ensemble deep learning. PeerJ Comput. Sci. 10: e2289 (2024) - [c14]Sirine Ben Ghozzi, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Explainable Ensemble Machine Learning Method for Credit Risk Classification. INISTA 2024: 1-7 - 2023
- [j6]Alaa A. Qaffas, Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui:
Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence. IEEE Access 11: 43778-43792 (2023) - [j5]Alaa A. Qaffas, Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui:
An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification. J. Theor. Appl. Electron. Commer. Res. 18(2): 848-866 (2023) - 2022
- [c13]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Detection of Hot Topics Using Multi-view Text Clustering. iiWAS 2022: 548-558 - [p1]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
An Overview of Multi-View Methods for Text Clustering. Machine Learning and Data Analytics for Solving Business Problems 2022: 141-164 - 2021
- [j4]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
A parallel text clustering method using Spark and hashing. Computing 103(9): 2007-2031 (2021) - [c12]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Spark Based Text Clustering Method Using Hashing. DaWaK 2021: 137-142 - 2020
- [j3]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
On the use of ensemble method for multi view textual data. J. Inf. Telecommun. 4(4): 461-481 (2020) - [c11]Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Parallel K-Prototypes Clustering with High Efficiency and Accuracy. DaWaK 2020: 380-395 - [c10]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Self-Organizing Map for Multi-view Text Clustering. DaWaK 2020: 396-408
2010 – 2019
- 2019
- [j2]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
STiMR k-Means: An Efficient Clustering Method for Big Data. Int. J. Pattern Recognit. Artif. Intell. 33(8): 1950013:1-1950013:23 (2019) - [j1]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
One-pass MapReduce-based clustering method for mixed large scale data. J. Intell. Inf. Syst. 52(3): 619-636 (2019) - [c9]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Ensemble Method for Multi-view Text Clustering. ICCCI (1) 2019: 219-231 - [c8]Kenza Rziga, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
A New Spark Based K-Means Clustering with Data Removing Strategy. ICDEc 2019: 289-304 - 2018
- [c7]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
A Novel Tweets Clustering Method using Word Embeddings. AICCSA 2018: 1-7 - [c6]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Scalable Random Sampling K-Prototypes Using Spark. DaWaK 2018: 317-326 - 2017
- [c5]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
KP-S: A Spark-Based Design of the K-Prototypes Clustering for Big Data. AICCSA 2017: 557-563 - 2016
- [c4]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
An Accelerated MapReduce-Based K-prototypes for Big Data. STAF Workshops 2016: 13-25 - 2015
- [c3]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
MapReduce-based k-prototypes clustering method for big data. DSAA 2015: 1-7 - [c2]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Parallel K-prototypes for Clustering Big Data. ICCCI (2) 2015: 628-637 - 2014
- [c1]Ahmed Badreddine, Mohamed Aymen Ben HajKacem, Nahla Ben Amor:
A Three Stages to Implement Barriers in Bayesian-Based Bow Tie Diagram. IEA/AIE (2) 2014: 32-41
Coauthor Index
aka: Chiheb-Eddine Ben Ncir
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last updated on 2024-11-19 21:42 CET by the dblp team
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