Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …

There is an increasing influence of machine learning in business applications, with many
solutions already implemented and many more being explored. Since the global financial …

In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Mining industry is the basic industry of the national economy. However, in recent years,
listed mining companies have suffered serious financial risks due to special reasons such as …

Big data technology has had a significant impact on new business and financial services: for
example, GPS and Bluetooth inspire location-based services, and search and web …

One of the most important parts of an artificial neural network (ANN) which affects
performance is training algorithms. Training algorithms optimize the weights and biases of …

Risk assessment (RA) plays a vital role in safety engineering. The conventional RA
approaches have limited capabilities in handling time dependence and data uncertainty …

The primary aim of this systematic literature review (SLR) was to identify, assess and
synthesize the extant evidence about the opportunities and challenges concerning the use …

Apart from the fact that human-like robots are still one of the most interesting topics in
science fiction, artificial intelligence (AI) continues to develop rapidly as a popular …

The purpose is to make full use of data mining and machine learning technology under big
data to improve the ability of trade financial enterprises to cope with the risk of excessive …