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Articles 1 - 7 of 7
Full-Text Articles in Business
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Application Of Big Data Technology, Text Classification, And Azure Machine Learning For Financial Risk Management Using Data Science Methodology, Oluwaseyi A. Ijogun
Electronic Theses and Dissertations
Data science plays a crucial role in enabling organizations to optimize data-driven opportunities within financial risk management. It involves identifying, assessing, and mitigating risks, ultimately safeguarding investments, reducing uncertainty, ensuring regulatory compliance, enhancing decision-making, and fostering long-term sustainability. This thesis explores three facets of Data Science projects: enhancing customer understanding, fraud prevention, and predictive analysis, with the goal of improving existing tools and enabling more informed decision-making. The first project examined leveraged big data technologies, such as Hadoop and Spark, to enhance financial risk management by accurately predicting loan defaulters and their repayment likelihood. In the second project, we investigated …
Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara
Cloud-Based Machine Learning And Sentiment Analysis, Emmanuel C. Opara
Electronic Theses and Dissertations
The role of a Data Scientist is becoming increasingly ubiquitous as companies and institutions see the need to gain additional insights and information from data to make better decisions to improve the quality-of-service delivery to customers. This thesis document contains three aspects of data science projects aimed at improving tools and techniques used in analyzing and evaluating data. The first research study involved the use of a standard cybersecurity dataset and cloud-based auto-machine learning algorithms were applied to detect vulnerabilities in the network traffic data. The performance of the algorithms was measured and compared using standard evaluation metrics. The second …
Modeling The Stock Market Through Game Theory, Kylie Hannafey
Modeling The Stock Market Through Game Theory, Kylie Hannafey
Honors College Theses
Game Theory is used on many occasions to help us understand interactions between decision-makers. The famous Nash equilibrium is a steady state in a model that shows the interaction of different players, in which no player can do better by choosing a different action if the actions of the other players do not change. These two concepts can be applied to numerous situations that vary in types of players, but for our research, we are focusing on businesses in the stock market. The main objective is to use Game Theory to analyze data collected from the stock market, model our …
Investigating The Effects Of Tax Cuts On Capital Expenditures As An Alternative To Restore The United States Economy From The Covid-19 Pandemic, Carlos M. Parodi
Investigating The Effects Of Tax Cuts On Capital Expenditures As An Alternative To Restore The United States Economy From The Covid-19 Pandemic, Carlos M. Parodi
Honors College Theses
The Corona Virus has interrupted several years of strong economic expansion in the United States. In fact, it has disrupted the lives of every single person and organization in the world. After reaching its peak in mid-April, the rate of cases and related deaths has finally started to slow down. The U.S. Government passed three different pieces of legislation to address the effects of the virus. It is now considering legislation (referred to as Phase IV) to accelerate the return of the U.S. economy to its pre-pandemic level. Studies have shown that capital expenditures have been essential during periods of …
Investigating The Influence Of A Web Based Logistics Tool On The Effectiveness Of Operations For The Center Of Innovation For Logistics Of Georgia, David Vaughn
Honors College Theses
Research suggests a correlation between advancements in logistics infrastructure and the development rate of regional economies. Some states have identified this correlation and have taken steps to create specialized entities aimed at catalyzing the growth of logistics within their state. In the state of Georgia, the Center of Innovation for Logistics is the entity responsible for coordinating logistic development activities. As part of their responsibilities, they are tasked with fulfilling information requests regarding logistics infrastructure availability throughout the state. However, the system is used to process these requests is antiquated and extremely inefficient. In an attempt to ameliorate this process, …
Dynamic Logistics Enabled By Iot, Madeline K. Conner
Dynamic Logistics Enabled By Iot, Madeline K. Conner
Honors College Theses
The implementation of Internet of Things technology is becoming increasingly popular in the logistics industry due to its promise of valuable payoffs. The benefits will span across the entire logistics value chain, and benefits from IoT implementation will also impact areas such as operational efficiency, safety, security, and customer experience, while redesigning traditional business models. This report specifically focuses on creating a dynamic logistics system using the Internet of Things. The findings of this report focus on the associated cost savings between traditional logistics systems, and a daily dynamic model enabled by IoT technology. By applying IoT to logistics operations …
Digital Forensic Tools & Cloud-Based Machine Learning For Analyzing Crime Data, Majeed Kayode Raji
Digital Forensic Tools & Cloud-Based Machine Learning For Analyzing Crime Data, Majeed Kayode Raji
Electronic Theses and Dissertations
Digital forensics is a branch of forensic science in which we can recreate past events using forensic tools for legal measure. Also, the increase in the availability of mobile devices has led to their use in criminal activities. Moreover, the rate at which data is being generated has been on the increase which has led to big data problems. With cloud computing, data can now be stored, processed and analyzed as they are generated. This thesis documents consists of three studies related to data analysis. The first study involves analyzing data from an android smartphone while making a comparison between …