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Listar por autor "Krejcar, Ondrej"

Mostrando ítems 1-5 de 5

    • 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 ...

    • Imputation of Rainfall Data Using the Sine Cosine Function Fitting Neural Network 

      Chan Chiu, Po; Selamat, Ali; Krejcar, Ondrej; Kuok Kuok, King; Herrera-Viedma, Enrique; Fenza, Giuseppe (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Missing rainfall data have reduced the quality of hydrological data analysis because they are the essential input for hydrological modeling. Much research has focused on rainfall data imputation. However, the compatibility ...

    • 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 ...

    • Performance and Convergence Analysis of Modified C-Means Using Jeffreys-Divergence for Clustering 

      Seal, Ayan; Karlekar, Aditya; Krejcar, Ondrej; Herrera-Viedma, Enrique (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      The size of data that we generate every day across the globe is undoubtedly astonishing due to the growth of the Internet of Things. So, it is a common practice to unravel important hidden facts and understand the massive ...

    • S-Divergence-Based Internal Clustering Validation Index 

      Kumar Sharma, Krishna; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (International Journal of Interactive Multimedia and Artificial Intelligence, 12/2023)
      A clustering validation index (CVI) is employed to evaluate an algorithm’s clustering results. Generally, CVI statistics can be split into three classes, namely internal, external, and relative cluster validations. Most ...