Featured Application The paper analyzes the usage and mechanisms of feature selection
methods that are based on swarm intelligence in different application areas. Abstract The …

This paper surveys main principles of feature selection and their recent applications in big
data bioinformatics. Instead of the commonly used categorization into filter, wrapper, and …

One of the major problems in Big Data is a large number of features or dimensions, which
causes the issue of “the curse of dimensionality” when applying machine learning …

Ransomware is malware that encrypts the victim's data and demands a ransom for a
decryption key. The increasing number of ransomware families and their variants renders …

This book shows a buffet of artificial intelligence applications from drones to deep learning
and from data analysis to the prediction of the next pandemic disease along with its drug …

In recent times, the Internet of Medical Things (IoMT) is a new loomed technology, which has
been deliberated as a promising technology designed for various and broadly connected …

Learning a classifier from an imbalanced dataset is an important problem in data mining and
machine learning. Since there is more information from the majority classes than the …

Clinical data analysis and forecasting have made substantial contributions to disease
control, prevention and detection. However, such data usually suffer from highly imbalanced …

Due to the high-dimensional characteristics of dataset, we propose a new method based on
the Wolf Search Algorithm (WSA) for optimising the feature selection problem. The proposed …

Since the development of cuckoo search (CS) by Yang and Deb in 2009, CS has been
applied in a diverse range of applications. This paper first outlines the key features of the …