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	1624
Downloads	0
Price:	Ksh. 30 Buy Now Buy via whatsapp

Share on:

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.

OTHER RELATED RESOURCES

BMS 201: Computer Programming ^Trending!

Updated notes on computer programming

4148 Views 0 Downloads 198.25 KB

Price: Ksh. 50

Download PDF

Get on whatsapp

BAC 203: BUSINESS FINANCE 1 ^Trending!

This course has been designed to act as a catalytic agent among commerce students as a pre – requirement to meeting and coping with the present and future challenges in the over dynamic world of Finance and Banking

3182 Views 0 Downloads 184.71 KB

Price: Ksh. 50

Download PDF

Get on whatsapp

Permutations combinations and probability ^Trending!

Updated notes on Permutations combinations and probability

20 Pages 4334 Views 0 Downloads 8.36 MB

Price: Ksh. 50

Download PDF

Get on whatsapp

Basic HTML Tags ^Trending!

Updated notes on Basic HTML Tags