The hospitality industry is growing at an increasingly fast pace across the world which results in accumulating a large amount of data, including employee details, property details, purchase details, vendor details, and ...

Machine learning has been key to significant information technology discoveries in myriad disciplines. However, it has received mixed outlook in the social science field. This study aims to use the methods of learning from ...

Globalization has shaped the way governments and government agencies operate; alongside how said phenomenon has consequently paved the way toward economic growth. With globalization, use of modern technology has also become ...

This dissertation presents a novel drug classifier to automate the prediction of drug indication and drug interactions with other drugs. The study integrates knowledge visualization, analysis, as well as development of a ...

Making the right decision for students in higher education is vital, as it has a great influence on their study, career, life, and eventually, the whole society. Predicting the future performance of students can inform ...

Student retention is one the biggest challenges facing academic institutions worldwide. Failure to retain students not only affects the student in a negative way but also hinders institutional quality and reputation. While ...

Machine Learning (ML) saw a great increase in general and domain specific research. ML in bioinformatics and epidemiology in particular grew drastically, powered by the proliferation of Electronic Medical Records (EMR) in ...

Social media plays a critical role in the public sector as it allows the government to interact with the citizens. With the United Arab Emirates being active on social media platforms, this study then aims to identify the ...

Sentiment Analysis is a rising field that is gaining popularity every day due to its importance in mining the public opinions, the immense amount of generated data every second over the Internet via social network, microblogs, ...

Predictive maintenance of Electronic Toll Collection System is a major subject in traffic engineering due to the complexity of the system and the difficulty of predicting the components failures. Two types of machine ...