Join Our WhatsApp Channel for Updates!
DATA MINING TECHNIQUES
| Institution | UNIVERSITY |
| Course | FORENSICS |
| Year | 1st Year |
| Semester | Unknown |
| Posted By | Brian Mike |
| File Type | |
| Pages | 21 Pages |
| File Size | 545.18 KB |
| Views | 3395 |
| Downloads | 0 |
| Price: |
Buy Now
 Buy via
whatsapp
|
Description
The paper presents application of data mining techniques to fraud analysis. We
present some classification and prediction data mining techniques which we
consider important to handle fraud detection. There exist a number of data
mining algorithms and we present statistics-based algorithm, decision treebased algorithm and rule-based algorithm. We present Bayesian classification model to detect fraud in automobile insurance. Naïve Bayesian visualization is selected to analyze and interpret the classifier predictions. We illustrate how ROC curves can be deployed for model assessment in order to provide a more intuitive analysis of the models
Below is the document preview.
-page04.png)
EET 100 Introduction to Microeconomics
Trending!
Simple and Clear
139 Pages
3820 Views
2 Downloads
1.97 MB
BMS 404 Econometric Models and Methods
Trending!
Simple and Clear
58 Pages
4483 Views
1 Downloads
1.25 MB
SPA 2412; Financial Risk Management Notes 4th Year
Trending!
Financial risk management is a process to deal with key factors affecting interest rates,exchange rates and commodity prices.
99 Pages
4364 Views
3 Downloads
1.31 MB
SPA 2403; Survival Analysis Notes 4th year
Trending!
These are simplified survival analysis notes to help the student to pass his or her exams.
67 Pages
3748 Views
1 Downloads
184.36 KB
Curriculum development notes 2nd year
Trending!
Simple and clear notes
51 Pages
2981 Views
2 Downloads
565.08 KB