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A systematic mapping study on agent mining

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.
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Submitted on : Friday, October 22, 2021 - 4:26:51 PM
Last modification on : Monday, May 16, 2022 - 6:50:01 PM




Emmanuelle Grislin-Le Strugeon, Káthia Marçal de Oliveira, Marie Thilliez, Dorian Petit. A systematic mapping study on agent mining. Journal of Experimental and Theoretical Artificial Intelligence, Taylor & Francis, 2021, pp.1-26. ⟨10.1080/0952813X.2020.1864784⟩. ⟨hal-03396289⟩



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