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Data Mining by Soft Computing Methods for The Coronary Heart Disease Database Hara, Akira Hara Akira Ichimura, Takumi Ichimura Takumi open access (c) Copyright by IEEE SMC Hiroshima Chapter. 500 For improvement of data mining technology, the advantages and disadvantages on respective data mining methods should be discussed by comparison under the same condition. For this purpose, the Coronary Heart Disease database (CHD DB) was developed in 2004, and the data mining competition was held in the International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES). In the competition, two methods based on soft computing were presented. In this paper, we report the overview of the CHD DB and the soft computing methods, and discuss the features of respective methods by comparison of the experimental results. IEEE SMC Hiroshima Chapter 2008-12 eng conference paper VoR https://hiroshima.repo.nii.ac.jp/records/2000912 1883-3977 Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008 Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008 133 133 138 https://hiroshima.repo.nii.ac.jp/record/2000912/files/11-01-SC080001.pdf 310.1 KB