A Multi-agents Approach to Knowledge Discovery

Over the past few years, data mining and multi-agent approach has been used successfully in the development of large complex systems. Such a hybrid approach can be considered as an effective approach for the development of predictive modeling in complex e-health systems. We propose a real time Data Mining and Multi-Agent System called DMMAS, modeling chronic disease data. DMMAS approach employs data partitioning and multiple agents with option to employ heterogeneous or homogenous data mining techniques, distributing agent based processing for modeling and combining results from all the agents to improve the efficiency.