Titlebook: Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics; Theories and Applica Haruna Chiroma,Shafi’i M. Abdulhamid,Nuno M. Ga

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Big Data Clustering Techniques: Recent Advances and Survey,ced by today’s applications. There is a huge amount of information in the field of clustering and a lot of attempts have already been made to identify and evaluate it for a wide number of applications, but the major problems with the application of classical clustering algorithm for big data analysi

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A Survey of Network Intrusion Detection Using Machine Learning Techniques,g transmitted, there is an important need to protect networks from intrusions. Hence, adopting an intrusion detection system is imperative. As the frequency of sophisticated attacks has been increasing tremendously over the past years, machine learning approaches were introduced to identify intrusio

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Two-Steps Wrapper-Based Feature Selection in Classification: A Comparison Between Continuous and Bie data. Based on evaluation criteria, FS can be either filter or wrapper. Wrappers are computationally expensive due to many feature interactions in the search space. In this study, cuckoo optimisation algorithm (COA) along with its binary (BCOA) are used as wrapper-based FS for the first time to ex

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