The purpose of this chapter is to present two agents' societies responsible for group formation (sub-communities) in CV-Muzar (Augusto Ruschi Zoobotanical Museum Virtual Community of the University of Passo Fundo). These societies are integrated to execute a data mining classification process. The first society is a static society that intends preprocessing data, investigating the information about groups in the CV-Muzar. The second society is a dynamical society that will make a classification process by analyzing the existing groups and look for participants that have common subjects in order to constitute a sub-community. The formation of sub-communities is a new functionality within the CV-Muzar that intends to bring the participants together according to two scopes: interest similarity and knowledge complementarities. © 2009 Springer-Verlag US.
CITATION STYLE
De Marchi, A. C. B., & Moraes, M. C. (2009). CV-muzar - The virtual community environment that uses multiagent systems for formation of groups. In Data Mining and Multi-Agent Integration (pp. 305–314). Springer US. https://doi.org/10.1007/978-1-4419-0522-2_21
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