E. Irwansyah

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OBJECTIVES The number of deaths caused by cardiovascular disease and stroke is predicted to reach 23.3 million in 2030. As a contribution to support prevention of this phenomenon, this paper proposes a mining model using a naïve Bayes classifier that could detect cardiovascular disease and identify its risk level for adults. METHODS The process of(More)
In this research, Fuzzy Kohonen Clustering Network (FKCN) algorithm is compared to Efficient Fuzzy Kohonen Clustering Network (EFKCN) algorithm. This research is conducted to see if EFKCN is really efficient and could do a better clustering analysis than original FKCN. We do empirical testing and simulations to compare both algorithms, by using an expanded(More)
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