Intelligent control of traffic has significant influence on the scheduling efficiency of urban
traffic flow. Therefore, in order to improve the efficiency of vehicles at intersections, first, the …

This paper focuses on privacy and security concerns in Big Data. This paper also covers the
encryption techniques by taking existing methods such as differential privacy, k-anonymity, T …

Microblogging site Twitter (re-branded to X since July 2023) is one of the most influential
online social media websites, which offers a platform for the masses to communicate …

In order to conduct an in-depth study on financial transactions of block chain, the classical
back propagation (BP) neural network based on the artificial neural network (ANN) model is …

This study proposes an approach based on machine learning to forecast currency exchange
rates by applying sentiment analysis to messages on Twitter (called tweets). A dataset of the …

This study systematically reviews the research on applying social media data (SMD) in
business decision-making. We applied bibliometric mapping and a Latent Dirichlet …

Stock market forecasting is widely recognized as one of the most important and difficult
business challenges in time series forecasting. This is mainly due to its noise. The use of …

Although cross-border bond issuance by emerging market economies (EMEs) has surged
and dominated financing since the financial crisis of 2008, the sources of variation in cross …

Nowadays, event forecasting in Twitter can be considered an essential, significant and
difficult issue. Maximum conventional methods are focusing on temporal events like sports …

Transfer learning has not been widely explored with time series. However, it could boost the
application and performance of deep learning models for predicting macroeconomic time …