Assignment: Fraud Detection Using Data Mining?
Fraud Detection is the detection of fraud (deceiving someone or an organization to gain something). With the technological innovations, fraudulent activities have become a common place. For example, forging checks, cracking passwords to gain access to bank accounts etc. These activities are causing huge financial and economical damages. With many fraudulent activities recorded, Data Mining can be used to find patterns in fraudulent activities which helps in detecting and hampering these activities.
Write a 5--10 page APA formatted paper on a business problem that requires data mining, why the problem is interesting, the general approach you plan to take, what kind of data you plan to use, and finally how you plan to get the data. You should describe your problem, approach, dataset, data analysis, evaluation, discussion, references, and so on, in sufficient details, and you need to show supporting evidence in tables and/or figures. You need to provide captions for all tables and figures.
Text Book: Introduction To Data Mining by PANG.N I NG TAN, MICHAEL STEINBACH and VIPIN KUMAR.
Format your assignment according to the following formatting requirements:
1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.