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Nida Meddouri
Senior Researcher & Assistant Professor.
Consultant in Educational Technology.
IBM Certified Business Intelligence Specialist.
Teaching
College of Business, University of Jeddah, KSA
Advanced System Analysis and Design
Programming Languages
Information Systems Security
Information Systems Strategy
Web Applications, Design, Development and Management
Introduction to Enterprise Resource Planning systems
Introduction to Management Information System
Electronic Commerce
System Analysis and Design
The global network
Web Applications, Design, Development and Management
Introduction to Management Information System
Higher Institute of Applied Languages and Computer Sciences, Beja, Tunisia
C Programming Workshop
Advanced Algorithmic
Artificial Intelligence
Business Intelligence Specialist: Cognos 10 BI Author
Computer Security
Web Security - Professional Master in Web Engineering
Training in Certificate Computer and Internet: C2i
Higher Institute of Computer Science, Tunis, Tunisia
Knowledge Discovery and Representation
Artificial Intelligence
Superior School of Engineers of Rural Equipment, Medjez El Bab, Tunisia
Programming Language
TIME University - Tunisia
Artificial Intelligence
C++ Programming Workshop
Compilation and Implementation of Languages
Algorithms and Data Structures
National Institute of Applied Science and Technology, Tunis, Tunisia
Algorithms and Data Structures
Data Processing
Training in Certificate Computer and Internet: C2i
Expert systems
Complexity of algorithms
Operating Systems
Artificial Intelligence
Faculty of Mathematical, Physical and Natural Sciences, Tunis, Tunisia
Network Operating Systems
Object Oriented Programming
Recent Publications
Fray, F., Meddouri, N., Maddouri, M. Dagging a Formal Concept Classifier over the Cloud. (2020)
Fray, R., Meddouri, N., Maddouri, M. : The Cloudification of a Classification Method based on Formal Concept Analysis. (2019)
• Meddouri, N., Maddouri, M.: Which Closure operators for a nominal classifier based on FCA. (2018)
Meddouri, N., Khoufi, H., Maddouri, M. (2018). DFC: a performant dagging approach of classification based on concept lattice. (2018)
Trabelsi, M., Meddouri, N., Maddouri, M.: A new feature selection method for nominal classifier based on Formal Concept Analysis. (2017)
Trabelsi, M., Meddouri, N., Maddouri, M.: Nouvelle taxonomie des méthodes de classification basée sur l’Analyse de Concepts Formels. (2016)
Trabelsi, M., Meddouri, N., Maddouri, M.: New taxonomy of classification methods based on Formal Concepts Analysis.(2016)
Professional activities
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Recent Medias
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Resources
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Awards
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Committees
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