A multi-agent architecture for intelligent data analysis
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Data
2011-09-14
Autores
Queiroz, Jonas F.P. [UNESP]
Guilherme, Ivan Rizzo [UNESP]
Batista, Caio Cesar [UNESP]
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Resumo
The present study introduces a multi-agent architecture designed for doing automation process of data integration and intelligent data analysis. Different from other approaches the multi-agent architecture was designed using a multi-agent based methodology. Tropos, an agent based methodology was used for design. Based on the proposed architecture, we describe a Web based application where the agents are responsible to analyse petroleum well drilling data to identify possible abnormalities occurrence. The intelligent data analysis methods used was the Neural Network.
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Palavras-chave
Intelligent data analysis, Multi-agent architecture, Web based application, Agent-based methodologies, Automation process, Data integration, Multi-Agent, Multiagent architecture, Proposed architectures, Web-based applications, Automation, Data reduction, Information science, Neural networks, Oil wells, Robotics, User interfaces, Well drilling, Network architecture
Como citar
ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, v. 1, p. 215-218.