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A Multi-Agent Architecture for Data Analysis

Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy
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Future Internet 2019, 11(2), 49; https://doi.org/10.3390/fi11020049
Received: 20 December 2018 / Revised: 11 February 2019 / Accepted: 13 February 2019 / Published: 18 February 2019
(This article belongs to the Special Issue 10th Anniversary Feature Papers)
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Abstract

ActoDatA (Actor Data Analysis) is an actor-based software library for the development of distributed data mining applications. It provides a multi-agent architecture with a set of predefined and configurable agents performing the typical tasks of data mining applications. In particular, its architecture can manage different users’ applications; it maintains a high level of execution quality by distributing the agents of the applications on a dynamic set of computational nodes. Moreover, it provides reports about the analysis results and the collected data, which can be accessed through either a web browser or a dedicated mobile APP. After an introduction about the actor model and the software framework used for implementing the software library, this article underlines the main features of ActoDatA and presents its experimentation in some well-known data analysis domains. View Full-Text
Keywords: social media analysis; data mining; multi-agent architecture; actor model; Java social media analysis; data mining; multi-agent architecture; actor model; Java
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Lombardo, G.; Fornacciari, P.; Mordonini, M.; Tomaiuolo, M.; Poggi, A. A Multi-Agent Architecture for Data Analysis. Future Internet 2019, 11, 49.

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