Online game research has explained the sources of gamer loyalty, but has not discussed the
role of gaming team competition, ie, who would engage in gaming team functions and what …

We compare the performance of various advanced forecasting techniques, namely artificial
neural networks, k-nearest neighbors, logistic regression, Naïve Bayes, random forest …

This study showcased the Markov switching autoregressive model with time-varying
parameters (MSAR-TVP) for modeling nonlinear time series with structural changes. This …

In this paper, a method for nonparametric regression estimation in a time-varying
environment is presented. The orthogonal series-based kernels are used to design learning …

Big data applications usually need to rent a large number of virtual machines from Cloud
computing providers. As a result of the policies employed by Cloud providers, the prices of …

Modern resource management frameworks guarantee low tail latency for long-running
services using the resource over-provisioning method, resulting in serious waste of …

Sequential analysis of medical time series has important implications when data concern
vital functions of the human body. Traditional monitoring of vital signs is performed by …

The global crisis has led to the transmission of economic hardships among nations,
impacting multiple countries, with significant effect on stock prices. This study investigates …

The Vietnamese stock market provides an interesting and enriching test field for the
application of trading expert systems as its economy is opening up, has high growth rate and …

Long-term investors can often bear the risk of outsized market movements or tail events
more easily than the average investor; for bearing this risk, they hope to earn significant …