Applications of intelligent agents
Agent technology
Data mining solutions: methods and tools for solving real-world problems
Data mining solutions: methods and tools for solving real-world problems
Data mining: concepts and techniques
Data mining: concepts and techniques
Introduction to Multiagent Systems
Introduction to Multiagent Systems
CoLe: A Cooperative Data Mining Approach and Its Application to Early Diabetes Detection
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
A computational study of DEA with massive data sets
Computers and Operations Research
An intelligent multi agent design in healthcare management system
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
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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.