DATA MINING TECHNIQUES

Institution UNIVERSITY
Course FORENSICS
Year 1st Year
Semester Unknown
Posted By Brian Mike
File Type pdf
Pages 21 Pages
File Size 545.18 KB
Views 1531
Downloads 0
Price: Buy Now whatsapp Buy via whatsapp
  • whatsapp
  • facebook
  • twitter

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.

No preview available
AGRICULTURE FORM 2 NOTES Trending!
UPDATED AGRICULTURE FORM 2 NOTES
104 Pages 3081 Views 0 Downloads 1.43 MB
AGRICULTURE FORM 3 NOTES
UPDATED AGRICULTURE FORM 3 NOTES
154 Pages 1700 Views 1 Downloads 1.43 MB
AGRICULTURE FORM 4 NOTES Trending!
UPDATED AGRICULTURE FORM 4 NOTES
140 Pages 2938 Views 0 Downloads 1 MB
HISTORY FORM 1 NOTES Trending!
UPDATED HISTORY FORM 1 NOTES
86 Pages 4866 Views 0 Downloads 1.09 MB
PHYSICS NOTES FORM 1-4 Trending!
UPDATED PHYSICS NOTES FORM 1-4
268 Pages 4701 Views 2 Downloads 7.91 MB
PHYSICS SCHEMES OF WORK FORM 1
UPDATED FORM1 SCHEMES OF WORK
18 Pages 597 Views 0 Downloads 743.2 KB
Physics Scheme Form2 Trending!
UPDATED PHYSICS SCHEMES OF WORK
21 Pages 3196 Views 0 Downloads 765.5 KB
Physics Scheme Form3 Trending!
UPDATED PHYSICS SCHEMES OF WORK F3
25 Pages 3583 Views 0 Downloads 811.89 KB
Physics Scheme Form4 Trending!
UPDATED PHYSICS SCHEMES OF WORK F4
22 Pages 2965 Views 0 Downloads 811.55 KB
HOW TO START A BUTCHERY BUSINESS IN KENYA Trending!
A Market Survey of the Butchery Business.
30 Pages 3486 Views 0 Downloads 991.29 KB