A Multi-Agent Architecture for Data Analysis

A Multi-Agent Architecture for Data Analysis

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 architec...

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Bibliographic Details
Main Authors: Gianfranco Lombardo, Paolo Fornacciari, Monica Mordonini, Michele Tomaiuolo, Agostino Poggi
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Future Internet
Subjects:
social media analysis
data mining
multi-agent architecture
actor model
Java
Online Access:https://www.mdpi.com/1999-5903/11/2/49
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spelling doaj-da1a3c2f8efd476cb441e6277042c1ff2020-11-25T01:11:21ZengMDPI AGFuture Internet1999-59032019-02-011124910.3390/fi11020049fi11020049A Multi-Agent Architecture for Data AnalysisGianfranco Lombardo0Paolo Fornacciari1Monica Mordonini2Michele Tomaiuolo3Agostino Poggi4Department of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, 43124 Parma, ItalyActoDatA (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.https://www.mdpi.com/1999-5903/11/2/49social media analysisdata miningmulti-agent architectureactor modelJava
collection DOAJ
language English
format Article
sources DOAJ
author Gianfranco Lombardo
Paolo Fornacciari
Monica Mordonini
Michele Tomaiuolo
Agostino Poggi
spellingShingle Gianfranco Lombardo
Paolo Fornacciari
Monica Mordonini
Michele Tomaiuolo
Agostino Poggi
A Multi-Agent Architecture for Data Analysis
Future Internet
social media analysis
data mining
multi-agent architecture
actor model
Java
author_facet Gianfranco Lombardo
Paolo Fornacciari
Monica Mordonini
Michele Tomaiuolo
Agostino Poggi
author_sort Gianfranco Lombardo
title A Multi-Agent Architecture for Data Analysis
title_short A Multi-Agent Architecture for Data Analysis
title_full A Multi-Agent Architecture for Data Analysis
title_fullStr A Multi-Agent Architecture for Data Analysis
title_full_unstemmed A Multi-Agent Architecture for Data Analysis
title_sort multi-agent architecture for data analysis
publisher MDPI AG
series Future Internet
issn 1999-5903
publishDate 2019-02-01
description 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.
topic social media analysis
data mining
multi-agent architecture
actor model
Java
url https://www.mdpi.com/1999-5903/11/2/49
work_keys_str_mv AT gianfrancolombardo amultiagentarchitecturefordataanalysis
AT paolofornacciari amultiagentarchitecturefordataanalysis
AT monicamordonini amultiagentarchitecturefordataanalysis
AT micheletomaiuolo amultiagentarchitecturefordataanalysis
AT agostinopoggi amultiagentarchitecturefordataanalysis
AT gianfrancolombardo multiagentarchitecturefordataanalysis
AT paolofornacciari multiagentarchitecturefordataanalysis
AT monicamordonini multiagentarchitecturefordataanalysis
AT micheletomaiuolo multiagentarchitecturefordataanalysis
AT agostinopoggi multiagentarchitecturefordataanalysis
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