文章基本信息

标题：USING MULTI-AGENTS SYSTEMS IN DISTRIBUTED DATA MINING: A SURVEY
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作者：AHMEDAMINE FARIZ ; JAAFAR ABOUCHABAKA ; NAJAT RAFALIA 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2015
卷号：73
期号：3
出版社：Journal of Theoretical and Applied
摘要：Extract accurate information from huge databases about petabytes has an unprecedented utility. However, the implementation of a data mining system requires an enormous amount of work and an extremely long run time in some cases of distributed environments. Distributed Artificial Intelligence consists that the entities with certain amount of autonomy must have the capacities of perception and action on their environment, which brings us to the concept of "cooperative agents" and therefore multi-agent systems. These systems are becoming more and more essential in many application fields due to the fact that they can solve the problems of complexity and distribution, especially when it comes to large systems such as data mining. This document is an overview of the integration of multi-agent systems and distributed data mining known as MADM (Multi Agent-based Distributed Data Mining).
关键词：SMA; DDM; MADM; data mining; agents; Distributed Data mining; Multi-Agent System.