Data Mining by Soft Computing Methods for The Coronary Heart Disease Database
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Page 133-138
published_at 2008-12
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| File | |
| Title ( eng ) |
Data Mining by Soft Computing Methods for The Coronary Heart Disease Database
|
| Creator |
Hara Akira
Ichimura Takumi
|
| Source Title |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
|
| Start Page | 133 |
| End Page | 138 |
| Abstract |
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.
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| NDC |
Technology. Engineering [ 500 ]
|
| Language |
eng
|
| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
|
| Date of Issued | 2008-12 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
|
| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
|
