Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- ETD (2)
- Machine learning (2)
- Assignment (1)
- Azure machine learning (1)
- Big data technology (1)
-
- Biography (1)
- Black-Scholes (1)
- Blockchain Security (1)
- Bombardment (1)
- Canoochee River (1)
- Containerization (1)
- Content-specific (1)
- Cyber security (1)
- Darknet (1)
- Data Analysis (1)
- Data Extraction (1)
- Data Visualization (1)
- Data science (1)
- Decentralization (1)
- Decentralized Identity (1)
- Docker (1)
- Encryption. (1)
- Evans County (1)
- Finance (1)
- Financial risk management (1)
- Game Theory (1)
- Georgia (1)
- Gould (1)
- Integrity (1)
- JMeter (1)
- Publication
- Publication Type
Articles 1 - 11 of 11
Full-Text Articles in Business
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Electronic Theses and Dissertations
This thesis comprises three distinct, yet interconnected studies addressing critical aspects of web infrastructure management. We begin by studying containerization via Docker and its impact on web server performance, focusing on Apache and Nginx hosted on virtualized environments. Through meticulous load testing and analysis, we provide insights into the comparative performance of these servers, adding users of this technology know which webservers to leverage when hosting their webservice along alongside the infrastructure to host it on. Next, we expand our focus to examine the performance of caching systems, namely Redis and Memcached, across traditional VMs and Docker containers. By comparing …
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 …
Blockchain Securities Issues: Decentralized Identity System With Key Management Perspective, Olalekan O. Adaramola
Blockchain Securities Issues: Decentralized Identity System With Key Management Perspective, Olalekan O. Adaramola
Electronic Theses and Dissertations
Blockchain was created many years ago to solve the problems of data transfer Integrity, several years later the issues persist. Blockchain securities are one of the most important considerations to be investigated, and data integrity is about ensuring the accuracy and validity of messages such that when they are read, they are the same as when they were first written. It is of the opinion that passing information across from one person to another cannot be the same as it was first said at the onset. Our work investigated Blockchain security issues, studying Integrity emanating from transactions across the blocks …
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 …
If They Would Just Hush And Pay Attention, Quinton Granville
If They Would Just Hush And Pay Attention, Quinton Granville
National Youth Advocacy and Resilience Conference
An interactive session that prepares educators to apply literacy strategies such as “Real-Talk” to overcoming the challenges associated with engaging post-millennials in college and career aligned skill practice. The presenter demonstrates how to plan standards-based instruction that incorporates students’ voice as a tool for empowering students to apply their verbal and written communication skills to complete content-specific (i.e., social studies, ELA, science, etc.) assignments.
Regression Tree Construction For Reinforcement Learning Problems With A General Action Space, Anthony S. Bush Jr
Regression Tree Construction For Reinforcement Learning Problems With A General Action Space, Anthony S. Bush Jr
Electronic Theses and Dissertations
Part of the implementation of Reinforcement Learning is constructing a regression of values against states and actions and using that regression model to optimize over actions for a given state. One such common regression technique is that of a decision tree; or in the case of continuous input, a regression tree. In such a case, we fix the states and optimize over actions; however, standard regression trees do not easily optimize over a subset of the input variables\cite{Card1993}. The technique we propose in this thesis is a hybrid of regression trees and kernel regression. First, a regression tree splits over …
Examining And Exposing The Darknet, Ton H. Don
Examining And Exposing The Darknet, Ton H. Don
Electronic Theses and Dissertations
This thesis consists of two studies; the first study is “Diving into the Darknet” and the second is “Exposing the Darknet on Mobile Devices”. The Darknet is a network of hidden sites and services which are built based on anonymity. In “Diving into the Darknet”, we applied different data science methods to establish the relationships between the data in the data set. This data set has information related to seller, drug types, and transactions. Additionally, we used Tableau to visualize the data set. For the second study, we took a digital forensics perspective of the Darknet. Orfox and Orbot, a …
Web Scraping The Easy Way, Yolande Neil
Web Scraping The Easy Way, Yolande Neil
Honors College Theses
Web scraping refers to a software program that mimics human web surfing behavior by pointing to a website and collecting large amounts of data that would otherwise be difficult for a human to extract. A typical program will extract both unstructured and semi-structured data, as well as images, and convert the data into a structured format. Web scraping is commonly used to facilitate online price comparisons, aggregate contact information, extract online product catalog data, extract economic/demographic/statistical data, and create web mashups, among other uses. Additionally, in the era of big data, semantic analysis, and business intelligence, web scraping is the …
The Distribution Of Individual Stock Returns In A Modified Black-Scholes Option Pricing Model, Daniel Lee Richey
The Distribution Of Individual Stock Returns In A Modified Black-Scholes Option Pricing Model, Daniel Lee Richey
Electronic Theses and Dissertations
Author's abstract: There have been many attempts to find a model that can accurately price options. These models are built on many assumptions, including which probability distribution stock returns follow. In this paper, we test several distributions to see which best fit the log returns of 20 different companies over a period between November 1, 2006 to October 31, 2011. If a "best" distribution is found, a modified Black-Scholes model will be defined by modifying the Weiner process. We use Monte Carlo simulations to generate estimated prices under specified parameters, and compare these prices to those simulated by the model …
Investigating Nitrogen Pollution In The Canoochee River, Evans County, Georgia, Chandra Marie Pitt Brown
Investigating Nitrogen Pollution In The Canoochee River, Evans County, Georgia, Chandra Marie Pitt Brown
Legacy ETDs
No abstract provided.
Lewis M. Gould Papers, Zach S. Henderson Library Special Collections
Lewis M. Gould Papers, Zach S. Henderson Library Special Collections
Finding Aids
This collection consists of the writings and personal papers of Lewis M. Gould. Materials span 1918-1991 and include his writings for Stars and Stripes, poems, and various clippings.
Find this collection in the University Libraries' catalog.