Mohamed Aymen Ben HajKacem

According to our database, Mohamed Aymen Ben HajKacem authored at least 23 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Enhancing intrusion detection performance using explainable ensemble deep learning.

Chiheb-Eddine Ben N'cir, Mohamed Aymen Ben HajKacem, Mohammed Alattas

PeerJ Comput. Sci., 2024

Explainable Spark-based PSO Clustering for Intrusion Detection.

Chiheb-Eddine Ben N'cir, Mohamed Aymen Ben HajKacem, Mohammed Alatas

Comput. Sci., 2024

Explainable Ensemble Machine Learning Method for Credit Risk Classification.

Sirine Ben Ghozzi, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2024

2023

An Explainable Artificial Intelligence Approach for Multi-Criteria ABC Item Classification.

Alaa A. Qaffas, Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui

J. Theor. Appl. Electron. Commer. Res., 2023

Interpretable Multi-Criteria ABC Analysis Based on Semi-Supervised Clustering and Explainable Artificial Intelligence.

Alaa A. Qaffas, Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben Ncir, Olfa Nasraoui

IEEE Access, 2023

2022

An Overview of Multi-View Methods for Text Clustering.

Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the Machine Learning and Data Analytics for Solving Business Problems: Methods, 2022

Detection of Hot Topics Using Multi-view Text Clustering.

Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the Information Integration and Web Intelligence, 2022

2021

A parallel text clustering method using Spark and hashing.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Computing, 2021

Spark Based Text Clustering Method Using Hashing.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

2020

On the use of ensemble method for multi view textual data.

Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi

J. Inf. Telecommun., 2020

Parallel K-Prototypes Clustering with High Efficiency and Accuracy.

Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Self-Organizing Map for Multi-view Text Clustering.

Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

2019

One-pass MapReduce-based clustering method for mixed large scale data.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

J. Intell. Inf. Syst., 2019

STiMR k-Means: An Efficient Clustering Method for Big Data.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Int. J. Pattern Recognit. Artif. Intell., 2019

A New Spark Based K-Means Clustering with Data Removing Strategy.

Kenza Rziga, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the Digital Economy. Emerging Technologies and Business Innovation, 2019

Ensemble Method for Multi-view Text Clustering.

Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

2018

Scalable Random Sampling K-Prototypes Using Spark.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

A Novel Tweets Clustering Method using Word Embeddings.

Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi

Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018

2017

KP-S: A Spark-Based Design of the K-Prototypes Clustering for Big Data.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017

2016

An Accelerated MapReduce-Based K-prototypes for Big Data.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Proceedings of the Software Technologies: Applications and Foundations, 2016

2015

Parallel K-prototypes for Clustering Big Data.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Proceedings of the Computational Collective Intelligence - 7th International Conference, 2015

MapReduce-based k-prototypes clustering method for big data.

Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014

A Three Stages to Implement Barriers in Bayesian-Based Bow Tie Diagram.

Ahmed Badreddine, Mohamed Aymen Ben HajKacem, Nahla Ben Amor

Proceedings of the Modern Advances in Applied Intelligence, 2014