<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Zoubeidi, Merouane</style></author><author><style face="normal" font="default" size="100%">Okba KAZAR</style></author><author><style face="normal" font="default" size="100%">BENHARZALLAH, Saber</style></author><author><style face="normal" font="default" size="100%">Mesbahi, Nadjib</style></author><author><style face="normal" font="default" size="100%">Merizig, Abdelhak</style></author><author><style face="normal" font="default" size="100%">Rezki, Djamil</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A new approach agent-based for distributing association rules by business to improve decision process in ERP systems</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Information and Decision Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.inderscience.com/info/inarticle.php?artid=104993</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">12</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>