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 | 1523 |
| 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)
COMPUTER FORM 1 NOTES
Trending!
UPDATED NOTES ON COMPUTER STUDIES
95 Pages
3184 Views
0 Downloads
1.44 MB
COMPUTER FORM2 NOTES
Trending!
UPDATED NOTES ON COMPUTER STUDIES FORM2
139 Pages
3562 Views
1 Downloads
2.61 MB
COMPUTER FORM1-4 NOTES
Trending!
UPDATED NOTES ON COMPUTER FORM1-4
20 Pages
3600 Views
1 Downloads
649.32 KB
CHEMISTRY NOTES FORM 1-4
Trending!
UPDATED CHEMISTRY NOTES FORM1-4
806 Pages
4270 Views
15 Downloads
9.24 MB
BIOLOGY NOTES FORM 1-4
Recommended!
Trending!
UPDATED BIOLOGY NOTES FORM 1-4
412 Pages
14180 Views
44 Downloads
15.04 MB
GEOGRAPHY NOTES FORM 1-4
UPDATED NOTES ON GEOGRAPHY NOTES FORM 1-4
468 Pages
472 Views
2 Downloads
4.85 MB