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Performance analysis of machine learning algorithms to predict mobile applications' star ratings via its user interface features
(East Carolina University, 2022-05-05)
The first part of this thesis concludes with an overall summary of the publications so far on the applied Machine Learning techniques in different phases of the Software Development Life Cycle that including Requirements ...
Tactile Demographics: Predicting Demographic Information Using Touch Data from Mobile Devices
(East Carolina University, 2021-04-20)
The research conducted in this thesis was to serve as a baseline on which human demographics are most likely to be able to be predicted through touch screen interactions. In addition, it served as a way of finding which ...
IMPLEMENTATION OF BERT BASED MACHINE LEARNING MODEL TO EXTRACT CANCER –MIRNA RELATIONSHIP FROM RESEARCH LITERATURE
(East Carolina University, 2021-04-15)
In the world today, text mining is a widely popular and growing branch of Information technology, in which we extract useful information out of the given pile of text data. There are thousands of research papers in medical ...
Applied Machine Learning for Cybersecurity in Spam Filtering and Malware Detection
(East Carolina University, 2020-11-17)
Machine learning is one of the fastest-growing fields and its application to cybersecurity is increasing. In order to protect people from malicious attacks, several machine learning algorithms have been used to predict the ...
An Empirical Exploration of Python Machine Learning API Usage
(East Carolina University, 2020-11-16)
Machine learning is becoming an increasingly important part of many domains, both inside and outside of computer science. With this has come an increase in developers learning to write machine learning applications in ...
Software Engineering for Real-Time NoSQL Systems-centric Big Data Analytics
(East Carolina University, 2020-12-02)
Recent advances in Big Data Analytics (BDA) have stimulated widespread interest to integrate BDA capabilities into all aspects of a business. Before these advances, companies have spent time optimizing the software ...