Decision-making in marketing has changed dramatically in the past decade. Companies
increasingly use algorithms to generate predictions for marketing decisions, such as which …

The exponential growth of collected, processed, and shared microdata has given rise to
concerns about individuals' privacy. As a result, laws and regulations have emerged to …

New concepts based on the Internet of Things propose the integration of the human factor as
a key component of novel interconnected ecosystems, to offer them new services and …

IoT data markets in public and private institutions have become increasingly relevant in
recent years because of their potential to improve data availability and unlock new business …

Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …

Measuring personal disclosures made in human-chatbot interactions can provide a better
understanding of users' AI literacy and facilitate privacy research for large language models …

The advent of machine learning in the recent decade has excelled in determining new
potential features and non-linear relationships existing between the data derived from the …

With the continuous increase in avenues of personal data generation, privacy protection has
become a hot research topic resulting in various proposed mechanisms to address this …

The integration of high data transmission rates and the recent digital multimedia technology,
paves the way to access a huge amount of video over the internet, in seconds. Additionally …

Personal data have been increasingly used in data-driven applications to improve quality of
life. However, privacy preservation of personal data while sharing it with …