Designing And Modelling Of A Credit Card Fraud Detection System Using Random Forest

Table of Content
Chapter One: Introduction
Introduction
- 1.1 Background of the Study
- 1.2 Statement of the Problem
- 1.3 Objectives of the Study
- 1.4 Research Questions
- 1.5 Research Hypotheses
- 1.6 Significance of the Study
- 1.7 Scope of the Study
- 1.8 Definition of Terms
Chapter Two: Literature Review
Literature Review
- 2.0 Introduction
- 2.1 Conceptual Review
- 2.2 Theoretical Framework
- 2.3 Empirical Review
- 2.4 Summary of Literature Review
Chapter Three: Methodology
Methodology
- 3.0 Introduction
- 3.1 Research Design
- 3.2 Population of the Study
- 3.3 Sample Size
- 3.4 Sampling Technique
- 3.5 Instrument for Data Collection
- 3.6 Validity of the Instrument
- 3.7 Reliability of the Instrument
- 3.8 Method Of Data Collection
- 3.9 Method of Data Analysis
- 3.10 Ethical Consideration
Chapter Four: Data Presentation and Analysis
Data Presentation and Analysis
- 4.0 Introduction
- 4.1 Demographic Analysis
- 4.2.1 Analysis of the impact of Facebook usage on customer engagement and patronage in the selected hospitality firms
- 4.2.2 Analysis of the impact of Instagram on brand visibility and marketing performance of the selected hotels
- 4.2.3 Analysis of the effect of TikTok on customer attraction and retention in the selected hospitality firms
- 4.2.4 Analysis of the role of LinkedIn in enhancing corporate networking and professional reputation of the selected hotels
- 4.3 Test of Hypotheses
- 4.4 Discussion of Finding
Chapter Five: Summary
Summary
- 5.1 Introduction
- 5.2 Summary
- 5.3 Conclusion
- 5.4 Limitations of the Study
- 5.5 Recommendations
- 5.6 Suggestions for Further Studies
- Appendix
- References
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