Selecting relevant feature subsets is vital in machine learning, and multiclass feature
selection is harder to perform since most classifications are binary. The feature selection …

Cancer is a deadly disease that affects the lives of people all over the world. Finding a few
genes relevant to a single cancer disease can lead to effective treatments. The difficulty with …

Explosive increase of dataset features may intensify the complexity of medical data analysis
in deciding necessary treatment for the patient. In most cases, the accuracy of diagnosis …

Currently, the use of intelligent systems for the automatic recognition of targets in the fields of
defence and military has increased significantly. The primary advantage of these systems is …

In the context of big data, many scientific communities aim to provide efficient approaches to
accommodate large-scale datasets. This is the case of the machine-learning community …

Micro-ribonucleic acids (miRNAs) are tiny noncoding ribonucleic acid (RNA) molecules that
involve various biological processes for cancer advancements. Classification of cancer is a …

In this chapter, the importance of optimization technique, more specifically metaheuristic
optimization in banking portfolio management, is reviewed. Present work deals with …

Explosive increases of features in high dimensional datasets remains a challenge for data
analysis in various research fields, especially the medical diagnosis sector, as it may affects …

Explosive increase of dataset features may intensify the complexity of medical data analysis
in deciding necessary treatment for the patient. In most cases, the accuracy of diagnosis …