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ORCIDNadia Essoussi
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2020 – today
- 2024
[c34]Sirine Ben Ghozzi, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Explainable Ensemble Machine Learning Method for Credit Risk Classification. INISTA 2024: 1-7- 2022
- [c33]Maha Fraj
, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Detection of Hot Topics Using Multi-view Text Clustering. iiWAS 2022: 548-558 - [p2]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
- [j9]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) - [j8]Chiheb-Eddine Ben N'cir, Mohamed Ismail Maiza, Waad Bouaguel, Nadia Essoussi:
Disjoint and Non-Disjoint Community Detection with Control of Overlaps Between Communities. SN Comput. Sci. 2(1): 15 (2021) - [c32]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Spark Based Text Clustering Method Using Hashing. DaWaK 2021: 137-142 - 2020
- [j7]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) - [c31]Hiba Jridi, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Parallel K-Prototypes Clustering with High Efficiency and Accuracy. DaWaK 2020: 380-395 - [c30]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Self-Organizing Map for Multi-view Text Clustering. DaWaK 2020: 396-408
2010 – 2019
- 2019
- [j6]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) - [j5]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) - [c29]Bochra Zaghdoudi, Waad Bouaguel, Nadia Essoussi:
A Distributed Multi-source Feature Selection Using Spark. AMLTA 2019: 312-320 - [c28]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
Ensemble Method for Multi-view Text Clustering. ICCCI (1) 2019: 219-231 - [c27]Kenza Rziga, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
A New Spark Based K-Means Clustering with Data Removing Strategy. ICDEc 2019: 289-304 - [p1]Rania Saidi, Waad Bouaguel, Nadia Essoussi:
Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient. Machine Learning Paradigms 2019: 3-24 - 2018
- [c26]Maha Fraj, Mohamed Aymen Ben HajKacem, Nadia Essoussi:
A Novel Tweets Clustering Method using Word Embeddings. AICCSA 2018: 1-7 - [c25]Rania Saidi, Waad Bouaguel Ncir, Nadia Essoussi:
Feature Selection Using Genetic Algorithm for Big Data. AMLTA 2018: 352-361 - [c24]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Scalable Random Sampling K-Prototypes Using Spark. DaWaK 2018: 317-326 - [c23]Marwa El Abri, Philippe Leray, Nadia Essoussi:
DAPER Joint Learning from Partially Structured Graph Databases. ICDEc 2018: 129-138 - [c22]Ikram Abdelkhalek, Afef Ben Brahim, Nadia Essoussi:
A New Way of Handling Missing Data in Multi-source Classification Based on Adaptive Imputation. MEDI 2018: 125-136 - 2017
- [c21]Marwa El Abri, Philippe Leray, Nadia Essoussi:
Learning Probabilistic Relational Models with (Partially Structured) Graph Databases. AICCSA 2017: 256-263 - [c20]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 - [c19]Mohamed Ismail Maiza, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Overlapping Community Detection Method for Social Networks. ICDEc 2017: 143-151 - [c18]Chiheb-Eddine Ben N'cir, Nadia Essoussi:
New Overlap Measure for the Validation of Non-disjoint Partitioning. ICDEc 2017: 152-161 - 2016
- [c17]Abir Zayani, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Parallel clustering method for non-disjoint partitioning of large-scale data based on spark framework. IEEE BigData 2016: 1064-1069 - [c16]Wassila Jerbi, Afef Ben Brahim, Nadia Essoussi:
A Hybrid Embedded-Filter Method for Improving Feature Selection Stability of Random Forests. HIS 2016: 370-379 - [c15]Jamila Yazidi, Waad Bouaguel, Nadia Essoussi:
A Parallel Implementation of Relief Algorithm Using Mapreduce Paradigm. ICCCI (2) 2016: 418-425 - [c14]Mohamed Ismail Maiza, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Overlap regulation for additive overlapping clustering methods. RCIS 2016: 1-6 - [c13]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
- [j4]Chiheb-Eddine Ben N'cir, Nadia Essoussi, Mohamed Limam:
Kernel-Based Methods to Identify Overlapping Clusters with Linear and Nonlinear Boundaries. J. Classif. 32(2): 176-211 (2015) - [j3]Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Using Sequences of Words for Non-Disjoint Grouping of Documents. Int. J. Pattern Recognit. Artif. Intell. 29(3): 1550013:1-1550013:20 (2015) - [c12]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
MapReduce-based k-prototypes clustering method for big data. DSAA 2015: 1-7 - [c11]Mohamed Aymen Ben HajKacem, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Parallel K-prototypes for Clustering Big Data. ICCCI (2) 2015: 628-637 - 2014
- [j2]Chiheb-Eddine Ben N'cir, Guillaume Cleuziou, Nadia Essoussi:
Generalization of c-means for identifying non-disjoint clusters with overlap regulation. Pattern Recognit. Lett. 45: 92-98 (2014) - [c10]Chiheb-Eddine Ben N'cir, Guillaume Cleuziou, Nadia Essoussi:
Généralisation des k-moyennes pour produire des recouvrements ajustables. EGC 2014: 221-232 - [c9]Hela Masmoudi, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Identification de classes non-disjointes ayants des densités différentes. EGC 2014: 257-268 - [c8]Amira Rezgui, Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Overlapping Clustering with Outliers Detection. ICPRAM 2014: 279-286 - 2013
- [c7]Chiheb-Eddine Ben N'cir, Afef Zenned, Nadia Essoussi:
Non-disjoint grouping of text documents based Word Sequence Kernel. EGC 2013: 253-262 - [c6]Chiheb-Eddine Ben N'cir, Nadia Essoussi:
On the Extension of k-Means for Overlapping Clustering - Average or Sum of Clusters' Representatives?. KDIR/KMIS 2013: 208-213 - [c5]Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Non-disjoint Cluster Analysis with Non-uniform Density. MIKE 2013: 100-111 - [c4]Haïfa Nakouri, Nadia Essoussi:
A Model-driven Process for Data Transformation of Heterogeneous Data. MODELSWARD 2013: 177-181 - 2012
- [i2]Chiheb-Eddine Ben N'cir, Nadia Essoussi:
Classification Recouvrante Basée sur les Méthodes à Noyau. CoRR abs/1211.6851 (2012) - [i1]Chiheb-Eddine Ben N'cir, Nadia Essoussi, Patrice Bertrand:
Overlapping clustering based on kernel similarity metric. CoRR abs/1211.6859 (2012) - 2011
- [c3]Sondes Fayech, Nadia Essoussi, Mohamed Limam:
DM-pred Method: A New Method to Predict Secondary Structures Based on Data Mining Techniques. DEXA Workshops 2011: 445-449 - 2010
- [c2]Chiheb-Eddine Ben N'cir, Nadia Essoussi, Patrice Bertrand:
Kernel Overlapping K-Means for Clustering in Feature Space. KDIR 2010: 250-255
2000 – 2009
- 2009
- [j1]Sondes Fayech, Nadia Essoussi, Mohamed Limam:
Partitioning clustering algorithms for protein sequence data sets. BioData Min. 2 (2009) - 2001
- [c1]Nadia Essoussi, Mohamed Ben Ahmed:
Integrity Maintenance in a Warehouse Environment. DIWeb 2001: 114-126
Coauthor Index
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