Agent-Based Support for Collaborative Data Mining in Systems Management
Abstract
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.
Description
Proceedings of the 34th Hawaii International Conference on System Sciences - 2001
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