Investors are continuously seeking profitable investment opportunities in startups and,
hence, for effective decision-making, need to predict a startup's probability of success …

The precision of the conventional user identification algorithm is not satisfactory because it
ignores the role of user-generated data in identity matching. In this paper, we propose a …

The proliferation of fake news on social media platforms makes it necessary to investigate
how news content and user comments can influence user engagement. This study analyzes …

Direct marketing campaigns are one of the main fundraising sources for nonprofit
organizations and their effectiveness is crucial for the sustainability of the organizations. The …

Twitter spam needs to be detected and arrested quickly. The paper examines methods for
classification of spam in terms of determination of important features, comparative …

Identifying users across social media has practical applications in many research areas,
such as user behavior prediction, commercial recommendation systems, and information …

With the rapid development of the Internet of Things (IoT) in 4G/5G deployments, the
massive amount of network data generated by users has exploded, which has not only …

The marketing industry has witnessed a significant prevalence of machine learning and
artificial intelligence models that have enhanced the accuracy, precision, and …

Email is among the cornerstones of our online lives. It has evolved from carrying text-only
messages to delivering well-designed HTML contents. The uptake of web protocols into …

E-mail tracking provides companies with fine-grained behavioral data about e-mail
recipients, which can be a threat for individual privacy and enterprise security. This problem …