@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 Kazar, Okba and Benharzallah, Saber and Mesbahi, Nadjib and Merizig, Abdelhak and Rezki, Djamil}
}
