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 | 1805 |
| 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)
Science scheme of work class 1 notes
Trending!
Simplified notes
8 Pages
4042 Views
0 Downloads
409.83 KB
WAREHOUSING OPERATIONS AND STOCK CONTROL
Trending!
Warehousing is the storage of goods until they are needed. The goal of warehouse operations is to satisfy customers’ needs and requirements while utilizing space, equipment, and labor effectively. The goods must be accessible and protected. Meeting this goal requires constant planning and ongoing change.
59 Pages
3163 Views
1 Downloads
1.85 MB
4 Ps of Marketing
Trending!
Marketing is the process of getting potential clients or customers interested in your products and services. The keyword in this definition is "process". Marketing involves researching, promoting, selling, and distributing your products or services.
21 Pages
3192 Views
0 Downloads
765.94 KB
GENERAL STUDIES NOTES
Trending!
The basis of any family is the couple i.e. a man and a woman who are united by marital bond or by marriage. Marriage is the marital union of man and woman by virtue of living together in undivided partnership.
36 Pages
3737 Views
0 Downloads
546.25 KB