Stock market prediction is one of the most challenging problems which has been distressing
both researchers and financial analysts for more than half a century. To tackle this problem …

Predicting the stock market remains a challenging task due to the numerous influencing
factors such as investor sentiment, firm performance, economic factors and social media …

Stock market trend prediction is one of the major issues which have been problematic to
both financial analysts and scientific research on real-time streamingdata. Also, forecasting …

The paper uses a hybrid model of convolutional neural network and long short-term memory
(CNN-LSTM) to examine the impact of the prediction (or input) window length on the …

Эффективное управление персоналом строится на основе анализа трудовых
показателей и разработке мероприятий по устранению выявленных узких мест …

The theory of complex-valued econometrics makes it possible to generate qualitatively new
features that can be used in machine learning algorithms. Our study reveals the task of …

With the advent of the digital era a plethora of technically induced disruptions of products,
processes and business models have emerged. Along with these shifting paradigms in the …