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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 ...
A FRAMEWORK FOR AUTOMATICALLY GENERATING QUESTIONS FOR TOPICS IN DISCRETE MATHEMATICS
(East Carolina University, 2020-11-17)
Automated question generation is critical for realizing personalized learning. Also, learning research shows that answering questions is a more effective method than rereading the textbook multiple times. However, creating ...
Towards Big Data Infrastructure for Historic Handwritten Document Transcription
(East Carolina University, 2017-05-03)
Historical archival documents are vast and contain many thousands of pages of unstructured data, often not easily searchable. The current state of the art is searchable meta-tags of documents which help a reader to land ...
User Behavior Analysis using Smartphones
(East Carolina University, 2017-07-26)
Users' activities produce an enormous amount of data when using popular devices such as smartphones. These data can be used to develop behavioral models in several areas including fraud detection, finance, recommendation ...
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 ...
POSTGRESQL AS A MULTI-MODEL DATABASE
(East Carolina University, 2019-07-26)
Data is being generated at unprecedented volume and speed, which is popularly known as Big Data. Most of this data is unstructured and requires natural language processing and information retrieval techniques to extract ...
Software Technology Maturation and Software Security
(East Carolina University, 2019-08-05)
Software technology maturation, also referred to as technology transfer, is as difficult as it is rare, mostly because of the time scale involved. Software maturation is defined as the process of taking a piece of technology ...
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 ...