C4.5: programs for machine learning
C4.5: programs for machine learning
MML clustering of multi-state, Poisson, vonMises circular and Gaussian distributions
Statistics and Computing
The platforms enabling wireless sensor networks
Communications of the ACM - Wireless sensor networks
Guest Editors' Introduction: Distributed Data Mining--Framework and Implementations
IEEE Internet Computing
Distributed data mining on clusters with bayesian mixture modeling
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
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Recent years have shown impressive growth in the development of ubiquitous healthcare (u-Healthcare) systems which aim for the next generation in e-Health services and associated research. Such systems are primarily being designed to provide emergency and preventive healthcare to citizens anywhere/anytime using wired and wireless mobile technologies. Data mining is an indispensable aspect of such systems and represents the process of analyzing databases to extract hidden knowledge and relationships. This paper introduces and studies the development framework of a prototype ubiquitous healthcare system initiated by the South Korean government. Preliminary results with a distributed data mining system are presented in the context of a larger future integration with the ubiquitous healthcare framework.