Multi-agent architecture for knowledge discovery
2006 Eighth International Symposium on Symbolic and Numeric …, 2006•ieeexplore.ieee.org
Knowledge Discovery from Databases (KDD) is a complex process composed of several
phases: business understanding, data understanding, data preparation, modeling,
evaluation and deployment. For each of the phases, there are many algorithms and methods
available, the end-user having to select one of them. The AgentDiscover is a multi-agent
based intelligent recommendation system for selection of the most appropriate solving
method for each phase. This brings added value for both novice and experienced users.
phases: business understanding, data understanding, data preparation, modeling,
evaluation and deployment. For each of the phases, there are many algorithms and methods
available, the end-user having to select one of them. The AgentDiscover is a multi-agent
based intelligent recommendation system for selection of the most appropriate solving
method for each phase. This brings added value for both novice and experienced users.
Knowledge Discovery from Databases (KDD) is a complex process composed of several phases: business understanding, data understanding, data preparation, modeling, evaluation and deployment. For each of the phases, there are many algorithms and methods available, the end-user having to select one of them. The AgentDiscover is a multi-agent based intelligent recommendation system for selection of the most appropriate solving method for each phase. This brings added value for both novice and experienced users.
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