Distributed Data Mining on Clusters with Bayesian Mixture Modeling

Viswanathan, Murlikrishna; Yang, Young-Kyu; Whangbo, Taeg Keun

doi:10.1007/11539506_151

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Preliminary Results2

Distributed Data Mining Architecture1

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Cited by 6 publications

(3 citation statements)

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“…The DDM system was tested on a number of real world datasets in order to test the effectiveness of data mining and the predictive accuracy. Detailed empirical analysis can be studied from (Viswanathan et al, 2005). In this section we present the DDM system performance results on the 'Pima-Indians-Diabetes' dataset from the UCI KDD Archive (Merz & Murphy, 1998).…”

Section: Preliminary Resultsmentioning

confidence: 99%

Causes of Death of Rhesus Monkeys Undergoing Liver Transplantation

Ran¹

2012

A Bird's-Eye View of Veterinary Medicine

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Section: Preliminary Resultsmentioning

confidence: 99%

Causes of Death of Rhesus Monkeys Undergoing Liver Transplantation

Ran¹

2012

A Bird's-Eye View of Veterinary Medicine

View full text Add to dashboard Cite

“…Detailed empirical analysis can be studied from (Viswanathan et al, 2005). In this section we present the DDM system performance results on the 'Pima-Indians-Diabetes' dataset from the UCI KDD Archive (Merz & Murphy, 1998).…”

Section: Preliminary Resultsmentioning

confidence: 99%

Data Mining in Ubiquitous Healthcare

Viswanathan¹,

Whangbo²,

Yang³

2011

New Fundamental Technologies in Data Mining

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“…The clusters get distributed over the LAN using MPI [14]. Data models are developed for each cluster dataset using the classification algorithm C4.5 [15].…”

Section: Distributed Data Mining Architecturementioning

confidence: 99%

A Distributed Data Mining System for a Novel Ubiquitous Healthcare Framework

Viswanathan

Whangbo

Lee

et al. 2007

Computational Science – ICCS 2007

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Abstract. 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.

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Distributed Data Mining on Clusters with Bayesian Mixture Modeling

Cited by 6 publications

References 3 publications

Causes of Death of Rhesus Monkeys Undergoing Liver Transplantation

Causes of Death of Rhesus Monkeys Undergoing Liver Transplantation

Data Mining in Ubiquitous Healthcare

A Distributed Data Mining System for a Novel Ubiquitous Healthcare Framework

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