Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

In this paper, binary variants of the ant lion optimizer (ALO) are proposed and used to select
the optimal feature subset for classification purposes in wrapper-mode. ALO is one of the …

Since most metaheuristic algorithms for continuous search space have been developed, a
number of transfer functions have been proposed including S-shaped, V-shaped, linear, U …

Attribute selection plays a vital role in optimization and machine learning that involves huge
datasets. Classification accuracy of any learning model depends on the dimensionality of …

Predicting the market's behavior to profit from trading stocks is far from trivial. Such a task
becomes even harder when investors do not have large amounts of money available, and …

Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …

Several machine learning paradigms have been applied to financial forecasting, attempting
to predict the market's behavior, with the final objective of profiting from trading shares. While …