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	6870
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

HRIM 228: PRINCIPLES OF PUBLIC HEALTH

The word health is widely used in public communication, and yet its meaning looks simple. However, closer looks show various and diverse meanings. This chapter discusses the various definitions and determinants of health.

484 Views 0 Downloads 246.5 KB

Price: Ksh. 80

Download PDF

Get on whatsapp

UCI 201: The Internet & the World Wide Web ^Trending!

Updated notes on the Internet & the World Wide Web

70 Pages 10012 Views 0 Downloads 971.78 KB

Price: Ksh. 100

Download PDF

Get on whatsapp

PSY 112: GENERAL EDUCATION PSYCHOLOGY ^Trending!

Updated notes on general education psychology