Agent-based support for collaborative data mining in systems management

Addresses the issues of structuring and supporting the collaborative data mining process. This paper extends the technology of multi-participant decision-making support into the data mining process and describes a perspective agent-based support architecture for data mining committees. The proposed architecture is based on agent-facilitators integrated with the layered structure of a case-based reasoning memory and an artificial neural network to support collaborative classification and linkage analysis between the heterogeneous views of system managers. A telecommunications management example is used to illustrate the approach.