Business analytics (BA) systems are considered significant investments for enterprises
because they have the potential to considerably improve firms' performance. With the value …

Big data has become a significant research area due to the birth of enormous data
generated from various sources like social media, internet of things and multimedia …

This paper presents a novel nature-inspired optimization paradigm, named as squirrel
search algorithm (SSA). This optimizer imitates the dynamic foraging behaviour of southern …

Meta-heuristic search algorithms were successfully used to solve a variety of problems in
engineering, science, business, and finance. Meta-heuristic algorithms share common …

Evolutionary fuzzy systems are one of the greatest advances within the area of
computational intelligence. They consist of evolutionary algorithms applied to the design of …

The continuous development of industry big data technology requires better computing
methods to discover the data value. Information forecast, as an important part of data mining …

Recent advances in sensor networks and the Internet of Things (IoT) technologies have led
to the gathering of an enormous scale of data. The exploration of such huge quantities of …

In an era of pervasive digitalization, the growing volume and variety of data streams poses a
new challenge to the efficient running of data-driven optimization algorithms. Targeting …

Every day, the immature sunflowers generate heliotropic movements. Two growth
mechanisms are controlled on the heliotropic movements of immature sunflowers. The first …

Recent trends in big data have shown that the amount of data continues to increase at an
exponential rate. This trend has inspired many researchers over the past few years to …