Investigating the use of a multi-agent system for knowledge discovery in databases

Authors:
Anne Magály P. Canuto;André Maurício C. Campos;Valéria Maria S. Bezerra;Marjory Cristianny da C. Abreu
Affiliations:
(Correspd. anne@dimap.ufrn.br) Informatics and Applied Mathematics Department, Federal University of Rio Grande do Norte (UFRN), Natal, RN - 59072-970, Brazil;Informatics and Applied Mathematics Department, Federal University of Rio Grande do Norte (UFRN), Natal, RN - 59072-970, Brazil;Informatics and Applied Mathematics Department, Federal University of Rio Grande do Norte (UFRN), Natal, RN - 59072-970, Brazil;Informatics and Applied Mathematics Department, Federal University of Rio Grande do Norte (UFRN), Natal, RN - 59072-970, Brazil
Venue:
International Journal of Hybrid Intelligent Systems - VIII Brazilian Symposium On Neural Networks
Year:
2007

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Abstract

This paper presents an agent-based system which is capable of performing knowledge discovery from database, including image databases. The proposed system is composed of several knowledge discovery (KD) agents which are responsible for data preparation and data mining. In the system, each agent has its own data mining method and they can have different answers to the same input pattern. In this sense, a negotiation method was proposed. As a result of this method, a commonly agreed output for an input pattern is provided by the system.