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, et al. "Feature Selection Methods to Extract Knowledge and Enhance Analysis of Ventricular Fibrillation Signals." In Encyclopedia of Information Science and Technology, Third Edition, edited by Mehdi Khosrow-Pour, D.B.A., 5555-5563. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-5888-2.ch548
Export Reference
