Advanced Techniques and Applications
12
Fraud Detection and Risk Management
Analytics for Accounting Data
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Welcome
Introduction to Accounting Analytics
1
Overview of Accounting Analytics
2
Foundations of Accounting Data
Data Exploration and Management
3
Exploratory Data Analysis (EDA)
4
Data Visualization
5
Dashboard for Visualization
6
Data Management in Accounting
Predictive and Prescriptive Analytics
7
Predictive Modeling - Linear Regression
8
Prescriptive Analytics in Accounting
Advanced Techniques and Applications
9
Web Scraping and Textual Analytics
10
Natural Language Processing (NLP)
11
Machine Learning
12
Fraud Detection and Risk Management
13
Performance Measurement and Management
Practical Considerations and Future Directions
14
Regulatory and Ethical Considerations
15
Future Directions in Accounting Analytics
Appendices
A
A Primer on Python
B
A Primer on R
C
Chapter 1 Solution
D
Chapter 2 Solution
References
Table of contents
12.1
Techniques for Fraud Detection
12.2
Risk Assessment Models
12.3
Case Studies in Fraud Detection
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Advanced Techniques and Applications
12
Fraud Detection and Risk Management
12
Fraud Detection and Risk Management
12.1
Techniques for Fraud Detection
12.2
Risk Assessment Models
12.3
Case Studies in Fraud Detection
11
Machine Learning
13
Performance Measurement and Management