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Listar Artículos Científicos WOS y SCOPUS por autor "Selamat, Ali"
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A group decision making support system for the Web: How to work in environments with a high number of participants and alternatives
Morente-Molinera, Juan Antonio; Kou, G; Pérez, Javier Ignacio; Pérez, Ignacio Javier; Samuylov, K.; Selamat, Ali; Herrera-Viedma, Enrique (Applied Soft Computing, 07/2018)One of the main challenges that the appearance of Web 2.0 and the overall spreading of the Internet have generated is how to tackle with the high number of users and information available. This problem is also inherited ... -
Comparative study on ant colony optimization (ACO) and K-Means clustering approaches for jobs scheduling and energy optimization model in Internet of Things (IoT)
Kumar, Sumit; Kumar-Solanki, Vijender; Kumar Choudhary, Saket; Selamat, Ali; González-Crespo, Rubén (International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ... -
Enhancing big data feature selection using a hybrid correlation-based feature selection
Mohamad, Masurah; Selamat, Ali; Krejcar, Ondrej; González-Crespo, Rubén ; Herrera-Viedma, Enrique; Fujita, Hamido (2021)This study proposes an alternate data extraction method that combines three well-known feature selection methods for handling large and problematic datasets: the correlation-based feature selection (CFS), best first search ... -
Multilayer Framework for Botnet Detection Using Machine Learning Algorithms
Ibrahim, Wan Nur Hidayah; Anuar, Syahid; Selamat, Ali; Krejcar, Ondrej; González-Crespo, Rubén; Herrera-Viedma, Enrique; Fujita, Hamido (IEEE Access, 2021)A botnet is a malware program that a hacker remotely controls called a botmaster. Botnet can perform massive cyber-attacks such as DDOS, SPAM, click-fraud, information, and identity stealing. The botnet also can avoid being ...