Kernel Overlapping K-Means for Clustering in Feature Space. - Chiheb-Eddine Ben N'cir; Nadia Essoussi; Patrice Bertrand (KDIR, 2010)

Classification Recouvrante Basée sur les Méthodes à Noyau - Chiheb-Eddine Ben N'cir; Nadia Essoussi (CoRR, 2012)

Overlapping clustering based on kernel similarity metric - Chiheb-Eddine Ben N'cir; Nadia Essoussi; Patrice Bertrand (CoRR, 2012)

Non-disjoint grouping of text documents based Word Sequence Kernel. - Chiheb-Eddine Ben N'cir; Afef Zenned; Nadia Essoussi (EGC, 2013)

On the Extension of k-Means for Overlapping Clustering - Average or Sum of Clusters' Representatives?. - Chiheb-Eddine Ben N'cir; Nadia Essoussi (KDIR/KMIS, 2013)

Non-disjoint Cluster Analysis with Non-uniform Density. - Chiheb-Eddine Ben N'cir; Nadia Essoussi (MIKE, 2013)

Identification de classes non-disjointes ayants des densités différentes. - Hela Masmoudi; Chiheb-Eddine Ben N'cir; Nadia Essoussi (EGC, 2014)

Généralisation des k-moyennes pour produire des recouvrements ajustables. - Chiheb-Eddine Ben N'cir; Guillaume Cleuziou; Nadia Essoussi (EGC, 2014)

Overlapping Clustering with Outliers Detection. - Amira Rezgui; Chiheb-Eddine Ben N'cir; Nadia Essoussi (ICPRAM, 2014)

Generalization of c-means for identifying non-disjoint clusters with overlap regulation. - Chiheb-Eddine Ben N'cir; Guillaume Cleuziou; Nadia Essoussi (Pattern Recognit. Lett., 2014)

MapReduce-based k-prototypes clustering method for big data. - Mohamed Aymen Ben HajKacem; Chiheb-Eddine Ben N'cir; Nadia Essoussi (DSAA, 2015)

Parallel K-prototypes for Clustering Big Data. - Mohamed Aymen Ben HajKacem; Chiheb-Eddine Ben N'cir; Nadia Essoussi (ICCCI (2), 2015)

Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries. - Chiheb-Eddine Ben N'cir; Nadia Essoussi; Mohamed Limam (J. Classif., 2015)

Using Sequences of Words for Non-Disjoint Grouping of Documents. - Chiheb-Eddine Ben N'cir; Nadia Essoussi (Int. J. Pattern Recognit. Artif. Intell., 2015)

Parallel clustering method for non-disjoint partitioning of large-scale data based on spark framework. - Abir Zayani; Chiheb-Eddine Ben N'cir; Nadia Essoussi (IEEE BigData, 2016)

Overlap regulation for additive overlapping clustering methods. - Mohamed Ismail Maiza; Chiheb-Eddine Ben N'cir; Nadia Essoussi (RCIS, 2016)

An Accelerated MapReduce-Based K-prototypes for Big Data. - Mohamed Aymen Ben HajKacem; Chiheb-Eddine Ben N'cir; Nadia Essoussi (STAF Workshops, 2016)

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 (AICCSA, 2017)

Overlapping Community Detection Method for Social Networks. - Mohamed Ismail Maiza; Chiheb-Eddine Ben N'cir; Nadia Essoussi (ICDEc, 2017)

New Overlap Measure for the Validation of Non-disjoint Partitioning. - Chiheb-Eddine Ben N'cir; Nadia Essoussi (ICDEc, 2017)

Scalable Random Sampling K-Prototypes Using Spark. - Mohamed Aymen Ben HajKacem; Chiheb-Eddine Ben N'cir; Nadia Essoussi (DaWaK, 2018)

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)

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)

Spark Based Text Clustering Method Using Hashing. - Mohamed Aymen Ben HajKacem; Chiheb-Eddine Ben N'cir; Nadia Essoussi (DaWaK, 2021)

Topic Modeling of Marketing Scientific Papers: An Experimental Survey. - Malek Chebil; Rim Jallouli; Mohamed Anis Bach Tobji; Chiheb-Eddine Ben Ncir (ICDEc, 2021)

A Density-Based Method for the Identification of Non-Disjoint Clusters With Arbitrary and Non-Spherical Shapes. - Chiheb-Eddine Ben Ncir (Comput. Sci., 2021)

A parallel text clustering method using Spark and hashing. - Mohamed Aymen Ben HajKacem; Chiheb-Eddine Ben N'cir; Nadia Essoussi (Computing, 2021)

Parallel and scalable Dunn Index for the validation of big data clusters. - Chiheb-Eddine Ben Ncir; Abdallah Hamza; Waad Bouaguel (Parallel Comput., 2021)

Disjoint and Non-Disjoint Community Detection with Control of Overlaps Between Communities. - Chiheb-Eddine Ben N'cir; Mohamed Ismail Maiza; Waad Bouaguel; Nadia Essoussi (SN Comput. Sci., 2021)

Distributed Evolutionary Feature Selection for Big Data Processing. - Waad Bouaguel; Chiheb-Eddine Ben N'cir (Vietnam. J. Comput. Sci., 2022)

Data-Driven Analysis of Microfinance and Social Loans Before and During the COVID-19 Pandemic Using Exploratory Analysis and Decision Tree Classifiers. - Chiheb-Eddine Ben Ncir; Bader A. Alyoubi; Roaa Alrazyeg (Machine Learning and Data Analytics for Solving Business Problems, 2022)

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)

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)

Evolutionary multi-objective customer segmentation approach based on descriptive and predictive behaviour of customers: application to the banking sector. - Chiheb-Eddine Ben Ncir; Mohamed Ben Mzoughia; Alaa A. Qaffas; Waad Bouaguel (J. Exp. Theor. Artif. Intell., 2023)

Explainable Spark-based PSO Clustering for Intrusion Detection. - Chiheb-Eddine Ben N'cir; Mohamed Aymen Ben HajKacem; Mohammed Alatas (Comput. Sci., 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)