CIS093-6 MSc Project-Computer Science Dissertation Sample | UoB

Published: 14 Aug, 2025
Category Dissertation Subject Computer Science
University University of Bedfordshire Module Title CIS093-6 MSc Project-Computer Science

Abstract

This research explores the development of an adaptive machine-learning model to proactively detect credit card fraud. With the rise in digital transactions, fraud has increasingly challenged financial institutions. A traditional detection system faces challenges in handling fraud patterns............................ View More.
 

Table of Contents

1.0 Chapter 1: Introduction
  • 1.1 Overview of the study
  • 1.2 Background of the study
  • 1.3 Problem Statement
  • 1.4 Research Aim
  • 1.5 Research Objectives
  • 1.6 Research Questions
  • 1.7 Rationale of the study
  • 1.8 Significance of the study
2.0 Chapter 2: Literature Review
  • 2.1 Introduction
  • 2.2 Theoretical Framework
  • 2.3 Research Gap
  • 2.4 Conceptual Framework
  • 2.5 Chapter Summary
Chapter 3: Research Methodology
  • 3.1 Research Design
  • 3.2 Data Collection
  • 3.3 Data Preprocessing
  • 3.4 Feature Selection
  • 3.5 Model Development
  • 3.6 Model Evaluation
  • 3.7 Chapter Summary
Chapter 4: Development and Implementation
  • 4.1 Algorithm Selection
  • 4.2 Algorithm Rationale
  • 4.3 Model Training and Validation
  • 4.4 Integration of SMOTEE for class Imbalance
  • 4.5 Chapter Summary
Chapter 5: Testing and Results
  • 5.1 Performance Metrics and Results
  • 5.2 Comparative Analysis with other models
  • 5.3 Data Collection for Testing
  • 5.4 Limitation and Challenges
Chapter 6: Discussion and Conclusion
  • 6.1 Key Findings
  • 6.2 Conclusion
  • 6.3 Future Work and Recommendations
References
 
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