ABSTRACT

Over the past two decades, many studies have been published in diverse fields of application combining agent abilities (knowledge processing, communication, learning, mobility, etc.) and data mining approaches (clustering, decision trees, ontologies, etc.). We performed a systematic mapping study to quantitatively analyse these contributions about agent mining. We determined that most of the publications were in the field of data mining using agent systems to collect or mine the data. Some used data mining solutions to improve agent behaviour, and very few publications integrated both agent and mining approaches. In the latter case, most were published in the last few years, which highlights the advances in research integrating agents and mining approaches.

摘要

在过去的二十年中，结合了代理能力（知识处理，通信，学习，移动性等）和数据挖掘方法（聚类，决策树，本体等）的各种应用领域已经发表了许多研究。我们进行了系统的制图研究，以定量分析有关代理挖掘的这些贡献。我们确定大多数出版物都在使用代理系统收集或挖掘数据的数据挖掘领域。一些使用数据挖掘解决方案来改善代理行为，很少有出版物集成​​了代理和挖掘方法。在后一种情况下，大多数出版物是在最近几年出版的，这突出了集成代理和挖掘方法的研究进展。