@article {7176,
	title = {A new approach agent-based for distributing association rules by business to improve decision process in ERP systems},
	journal = {International Journal of Information and Decision Sciences},
	volume = {12},
	number = {1},
	year = {2020},
	abstract = {Nowadays, the distributed computing plays an important role in the data mining process. To make systems scalable it is important to develop mechanisms that distribute the workload among several sites in a flexible way. Moreover, the acronym ERP refers to the systems and software packages used by organisations to manage day-by-day business activities. ERP systems are designed for the defined schema that usually has a common database. In this paper, we present a collaborative multi-agent based system for association rules mining from distributed databases. In our proposed approach, we combine the multi-agent system with association rules as a data mining technique to build a model that can execute the association rules mining in a parallel and distributed way from the centralised ERP database. The autonomous agents used to provide a generic and scalable platform. This will help business decision-makers to take the right decisions and provide a perfect response time using multi-agent system. The platform has been compared with the classic association rules algorithms and has proved to be more efficient and more scalable.},
	url = {https://www.inderscience.com/info/inarticle.php?artid=104993},
	author = {Zoubeidi, Merouane and Okba KAZAR and BENHARZALLAH, Saber and Mesbahi, Nadjib and Merizig, Abdelhak and Rezki, Djamil}
}
@article {62886,
	title = {A new approach agent-based for distributing association rules by business to improve decision process in ERP systems},
	journal = {International Journal of Information and Decision SciencesInternational Journal of Information and Decision Sciences},
	volume = {12},
	year = {2020},
	month = {2020},
	pages = {1-35},
	isbn = {1756-7017},
	author = {Zoubeidi, Merouane and Okba KAZAR and BENHARZALLAH, Saber and Mesbahi, Nadjib and Merizig, Abdelhak and Rezki, Djamil}
}
@inbook {63325,
	title = {A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP},
	booktitle = {Technological Innovations in Knowledge Management and Decision Support},
	year = {2019},
	month = {2019},
	pages = {1-18},
	publisher = {IGI Global},
	organization = {IGI Global},
	author = {Mesbahi, Nadjib and Okba KAZAR and BENHARZALLAH, Saber and Zoubeidi, Merouane and Rezki, Djamil}
}
@article {65815,
	title = {A cooperative multi-agent approach-based clustering in enterprise resource planning},
	journal = {International Journal of Knowledge and Systems Science (IJKSS)International Journal of Knowledge and Systems Science (IJKSS)},
	volume = {6},
	year = {2015},
	month = {2015},
	pages = {34-45},
	author = {Mesbahi, Nadjib and Okba KAZAR and BENHARZALLAH, Saber and Zoubeidi, Merouane}
}
@article {65814,
	title = {Multi-agents approach for data Mining based K-Means for improving the decision process in the ERP systems},
	journal = {International Journal of Decision Support System Technology (IJDSST)International Journal of Decision Support System Technology (IJDSST)},
	volume = {7},
	year = {2015},
	month = {2015},
	pages = {1-14},
	author = {Mesbahi, Nadjib and Okba KAZAR and BENHARZALLAH, Saber and Zoubeidi, Merouane and Samir BOUREKKACHE}
}
@inbook {66222,
	title = {An agent-based modeling for an enterprise resource planning (ERP)},
	booktitle = {Advanced Approaches to Intelligent Information and Database SystemsAdvanced Approaches to Intelligent Information and Database Systems},
	year = {2014},
	month = {2014},
	pages = {225-234},
	publisher = {Springer},
	organization = {Springer},
	author = {Mesbahi, Nadjib and Okba KAZAR and Zoubeidi, Merouane and BENHARZALLAH, Saber}
}
