MLA
Caravaca, Juan,et al. "Feature Selection Methods to Extract Knowledge and Enhance Analysis of Ventricular Fibrillation Signals." Encyclopedia of Information Science and Technology, Third Edition, edited by Mehdi Khosrow-Pour, D.B.A., IGI Global, 2015, pp. 5555-5563. https://doi.org/10.4018/978-1-4666-5888-2.ch548
APA
Caravaca, J., Serrano-López, A. J., Soria-Olivas, E., Martínez-Martínez, J. M., Escandell-Montero, P., & Guerrero-Martínez, J. F. (2015). Feature Selection Methods to Extract Knowledge and Enhance Analysis of Ventricular Fibrillation Signals. In M. Khosrow-Pour, D.B.A. (Ed.), Encyclopedia of Information Science and Technology, Third Edition (pp. 5555-5563). IGI Global. https://doi.org/10.4018/978-1-4666-5888-2.ch548
Chicago
Caravaca, Juan and Antonio J. Serrano-López, Emilio Soria-Olivas, José M. Martínez-Martínez, Pablo Escandell-Montero, and Juan F. Guerrero-Martínez. "Feature Selection Methods to Extract Knowledge and Enhance Analysis of Ventricular Fibrillation Signals." In Encyclopedia of Information Science and Technology, Third Edition. edited by Khosrow-Pour, D.B.A., Mehdi, 5555-5563. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-5888-2.ch548
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