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Ammar Asma
Asma
Ammar
asma.ammar@voila.fr
a.asma2.10@gmail.com
Assistant contractuel
ESSEC Tunis
Tél:
24 169 769
Cursus universitaire
Mastère en informatique de gestion
2011
Institut Supérieur de Gestion de Tunis
Maîtrise en informatique appliquée à la gestion
2009
Ecole Supérieure des Sciences Economiques et Commerciales de Tunis.
Domaines de recherche
Artificial Intelligence
Machine Learning
Clustering: k-modes method
Possibility theory
Rough set theory
Expérience professionnelle
Assistante contractuelle
2011 jusqu'à maintenant
ESSEC Tunis
Modules enseignés
Algorithmique et Structures de données
TD (Algorithmique) 1ére année Licence Appliquée en Informatique de Gestion
Méthodologies de Conception Orientées Objets
TD (UML) 2 éme année Licence Appliquée en Informatique de Gestion
ERP
Cours intégré
Informatique Général
Cours intégré (Access)
Système d'exploitation
TD
Thèse de doctorat
Possibilistic Rough K-Modes
Directeurs:
Pr. Zied ELOUEDI
, Pr. Pawan Lingras
Année soutenance:
Théses de doctorat en cours.
Mémoire de mastère / DEA
Dealing with uncertainty in clustering using possibility theory: Possibilistic K-modes
Directeurs:
Pr. Zied ELOUEDI
Année soutenance:
2011
Institut Supérieur de Gestion de Tunis
page_de_garde_mastere_.pdf
Publications
Revues internationales
Pawan Lingras
, Ahmed Elagmy
, Asma Ammar
,
Zied ELOUEDI
Iterative meta-clustering through granular hierarchy of supermarket customers and products,
Information Science, vol. 257, 14-31
,
2014
Conférences Internationales avec comité de lecture et actes
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Decremental Rough Possibilistic K-Modes,
The 3rd International Conference on Adaptive and Intelligent Systems, ICAIS 2014, LNCS 8779, Springer, 50-59
,
2014
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Semantically Enhanced Clustering in Retail Using Possibilistic K-Modes,
The 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, LNCS 2014, Springer, 753-764
,
2014
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Meta-Clustering Approach using Possibilistic Membership: Application to Retail Datasets,
The 2nd World Conference on Complex Systems, WCCS
,
2014
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Rough Possibilistic Meta-Clustering of Retail Datasets,
The 2014 International Conference on Data Science and Advanced Analytics DSAA'2014
,
2014
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
The k-modes method using possibility and rough set theories,
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 1297-1302, Edmonton, Alberta, Canada, June
,
2013
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Incremental Possibilistic K-Modes,
The 14th International Conference of Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2013, LNCS 8170 Springer, 293-303
,
2013
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Incremental Rough Possibilistic K-Modes,
The 7th Multi-Disciplinary International Workshop on Artificial Intelligence 2013, LNCS 8271, MIWAI 2013 Springer, 13-24
,
2013
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
Decremental Possibilistic K-Modes,
The 12th Scandinavian Conference on Artificial Intelligence, Frontiers in Artificial Intelligence and Applications (SCAI), 15-24
,
2013
Asma AMMAR
,
Zied ELOUEDI
, Pawan LINGRAS
K-Modes Clustering Using Possibilistic Membership,
The 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012), vol. 299, 596-605
,
2012
Asma AMMAR
,
Zied ELOUEDI
, Pawan LINGRAS
RPKM: The Rough Possibilistic K-Modes,
The 20th International Symposium on Methodologies for Intelligent Systems (ISMIS 2012), vol. 7661, 81-86
,
2012
Asma AMMAR
,
Zied ELOUEDI
, Pawan Lingras
The K-Modes Method under Possibilistic Framework,
The 26 th Canadian Conference on Artificial Intelligence, AI 2013 LNAI 6934, 211-217, Regina, SK, Canada, May
,
2012
Asma AMMAR
,
Zied ELOUEDI
A New Possibilistic Clustering Method:The Possibilistic K-Modes,
The 12th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2011: Artificial Intelligence Around Man and Beyond. LNAI 6934, 413-419
,
2011
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