Accurate forecasting of inter-urban traffic flow has been one of most important issues globally in the research on road traffic congestion. The information of inter-urban traffic with a cyclic data pattern presents a more challenging situation. This investigation presents a short-term traffic...

In contemporary finance, derivatives such as futures and options have exerted increasingly prominent impact not only on risk management activities but also on price speculative activities. As a result of the high-leverage characteristic involved in derivative tradings, investors can gain...

Accurate tourist demand forecasting systems are essential in tourism planning, particularly in tourism-based countries. Artificial neural networks are attracting attention to forecast tourist arrivals due to their general nonlinear mapping capabilities. Unlike most conventional neural network...

Support vector machines (SVMs) have been successfully applied to solve nonlinear regression and times series problems. However, the application of SVMs for tourist forecasting has not been widely explored. Furthermore, most SVM models are applied for solving univariate forecasting problems....

Accurate employee turnover prediction plays an important role in providing early information for unanticipated turnover. A novel classification technique, support vector machines (SVMs), has been successfully employed in many fields to deal with classification problems. However, the application...