Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Algorithms (1)
- Angular.js (1)
- Apache JMeter (1)
- Azure machine learning (1)
- Backend (1)
-
- Big data technology (1)
- Cyber security (1)
- Data operations (1)
- Data science (1)
- Database management systems (1)
- Decision-making. (1)
- Financial risk management (1)
- Framework (1)
- Frontend (1)
- JavaScript (1)
- Machine learning (1)
- NLP (1)
- NoSQL (1)
- Node.js (1)
- PHP (1)
- Performance (1)
- Performance comparison (1)
- React.js (1)
- SQL (1)
- T-test (1)
- Technology (1)
- Text analysis (1)
Articles 1 - 2 of 2
Full-Text Articles in Engineering
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 …
Comparative Analysis Of Fullstack Development Technologies: Frontend, Backend And Database, Qozeem Odeniran
Comparative Analysis Of Fullstack Development Technologies: Frontend, Backend And Database, Qozeem Odeniran
Electronic Theses and Dissertations
Accessing websites with various devices has brought changes in the field of application development. The choice of cross-platform, reusable frameworks is very crucial in this era. This thesis embarks in the evaluation of front-end, back-end, and database technologies to address the status quo. Study-a explores front-end development, focusing on angular.js and react.js. Using these frameworks, comparative web applications were created and evaluated locally. Important insights were obtained through benchmark tests, lighthouse metrics, and architectural evaluations. React.js proves to be a performance leader in spite of the possible influence of a virtual machine, opening the door for additional research. Study b …