Z Gharibshah, X Zhu - aCM Computing Surveys (CSUR), 2021 - dl.acm.org
Online advertising, as a vast market, has gained significant attention in various platforms ranging from search engines, third-party websites, social media, and mobile apps. The …
Typically performed by supervised machine learning algorithms, sentiment analysis is highly useful for extracting subjective information from text documents online. Most approaches that …
Accuracy plays a vital role in the medical field as it concerns with the life of an individual. Extensive research has been conducted on disease classification and prediction using …
W Yin, B Kirkulak-Uludag, D Zhu, Z Zhou - Applied Soft Computing, 2023 - Elsevier
Over the last decade, China's Peer-to-Peer (P2P) lending industry has been seen as an important credit source but it has recently suffered from a wave of bankruptcies. Using …
Z Chen, W Chen, Y Shi - Expert Systems with Applications, 2020 - Elsevier
Corporate bankruptcy prediction is an interesting and important research topic that can be conceived in many practical applications. Recently, machine learning based methods have …
The absence of a publicly available user-click dataset makes the task of fraudster identification particularly challenging to detect click fraud in online advertising. However, the …
Decision support is a crucial function for decision makers in many industries. Typically, Decision Support Systems (DSS) help decision-makers to gather and interpret information …
The worldwide adoption of mobile devices is raising the value of Mobile Performance Marketing, which is supported by Demand-Side Platforms (DSP) that match mobile users to …
Sexual cyberbullying is becoming a serious problem in today's society. In the workplace, this issue is more complex because of the power imbalance between potential perpetrators and …