Özet
Improving accuracy of supervised classification algorithms in biomedical applications is one of active area of research. In this study, we improve the performance of Particle Swarm Optimization (PSO) combined with C4.5 decision tree (PSO+C4.5) classifier by applying Boosted C5.0 decision tree as the fitness function. To evaluate the effectiveness of our proposed method, it is implemented on 1 microarray dataset and 5 different medical data sets obtained from UCI machine learning databases. Moreover, the results of PSO + Boosted C5.0 implementation are compared to eight well-known benchmark classification methods (PSO+C4.5, support vector machine under the kernel of Radial Basis Function, Classification And Regression Tree (CART), C4.5 decision tree, C5.0 decision tree, Boosted C5.0 decision tree, Naive Bayes and Weighted K-Nearest neighbor). Repeated five-fold cross-validation method was used to justify the performance of classifiers. Experimental results show that our proposed method not only improve the performance of PSO+C4.5 but also obtains higher classification accuracy compared to the other classification methods.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 7230-7233 |
Sayfa sayısı | 4 |
ISBN (Elektronik) | 9781424492718 |
DOI'lar | |
Yayın durumu | Yayınlandı - 4 Kas 2015 |
Harici olarak yayınlandı | Evet |
Etkinlik | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Süre: 25 Ağu 2015 → 29 Ağu 2015 |
Yayın serisi
Adı | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Hacim | 2015-November |
ISSN (Basılı) | 1557-170X |
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???event.eventtypes.event.conference??? | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Ülke/Bölge | Italy |
Şehir | Milan |
Periyot | 25/08/15 → 29/08/15 |
Bibliyografik not
Publisher Copyright:© 2015 IEEE.