Agent-Based Support for Collaborative Data Mining in Systems Management
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This paper addresses the issues of structuring and supporting the collaborative data mining process. It extends the technology of multiparticipant decision making support into the data mining process and describes perspective agent-based support architecture for the data mining committees. The proposed architecture is based on the agents-facilitators integrated with layered structure of case-based reasoning memory and artificial neural network to support collaborative classification and linkage analysis between the heterogeneous views of system managers. The telecommunications management example is used to illustrate the approach.
Proceedings of the 34th Hawaii International Conference on System Sciences - 2001
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