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CUSTOMER REVIEWS ANALYSIS WITH DEEP NEURAL NETWORKS FOR E-COMMERCE RECOMMENDER SYSTEMS
(East Carolina University, 2019-07-17)
The first part of this thesis systematically reviews the trend of researches conducted from 2011 to 2018 in terms of challenges and problems regarding developing a recommendation system, areas of application, proposed ...
Intrusion detection using machine learning algorithms
(East Carolina University, 2019-11-27)
With the growing rate of cyber-attacks, there is a significant need for intrusion detection systems (IDS) in networked environments. As intrusion tactics become more sophisticated and more challenging to detect, this ...
CUSTOMER REVENUE PREDICTION FROM GEOGRAPHICAL DATA
(East Carolina University, 2019-07-22)
Online stores have created more opportunities for firms to offer different products and services to their customers. These online stores produce a tremendous amount of data that serve different purposes, including revenue ...
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 ...
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 ...
INTELLIGENT MODEL FOR IMAGE-BASED RECOMMENDATION SYSTEM
(East Carolina University, 2016-08-29)
Online shopping has developed in parallel with the Internet, and Recommendation Systems have played a pivotal role in its growth. The recommendations are usually provided in two ways: Content-based Filtering and Collaborative ...
MACHINE LEARNING BASED MEDICAL INFORMATION RETRIEVAL SYSTEMS
(East Carolina University, 2019-04-23)
As many fields progress with the assistance of cognitive computing, the field of health care is also adapting, providing many benefits to all users. However, advancements in this area are hindered by several challenges ...