<?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><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 SciencesInternational Journal of Information and Decision Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">1-35</style></pages><isbn><style face="normal" font="default" size="100%">1756-7017</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mesbahi, Nadjib</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%">Zoubeidi, Merouane</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 Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP</style></title><secondary-title><style face="normal" font="default" size="100%">Technological Innovations in Knowledge Management and Decision Support</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">IGI Global</style></publisher><pages><style face="normal" font="default" size="100%">1-18</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><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%">Mesbahi, Nadjib</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%">Zoubeidi, Merouane</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A cooperative multi-agent approach-based clustering in enterprise resource planning</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Knowledge and Systems Science (IJKSS)International Journal of Knowledge and Systems Science (IJKSS)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">6</style></volume><pages><style face="normal" font="default" size="100%">34-45</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><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%">Mesbahi, Nadjib</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%">Zoubeidi, Merouane</style></author><author><style face="normal" font="default" size="100%">Samir BOUREKKACHE</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multi-agents approach for data Mining based K-Means for improving the decision process in the ERP systems</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Decision Support System Technology (IJDSST)International Journal of Decision Support System Technology (IJDSST)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">2</style></number><volume><style face="normal" font="default" size="100%">7</style></volume><pages><style face="normal" font="default" size="100%">1-14</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>5</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Mesbahi, Nadjib</style></author><author><style face="normal" font="default" size="100%">Okba KAZAR</style></author><author><style face="normal" font="default" size="100%">Zoubeidi, Merouane</style></author><author><style face="normal" font="default" size="100%">BENHARZALLAH, Saber</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An agent-based modeling for an enterprise resource planning (ERP)</style></title><secondary-title><style face="normal" font="default" size="100%">Advanced Approaches to Intelligent Information and Database SystemsAdvanced Approaches to Intelligent Information and Database Systems</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pages><style face="normal" font="default" size="100%">225-234</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>