Datamining Research paper

 TOPIC:  Focus on Healthcare Payer / Provider Fraud

Note: Use the topic and 5 references from attached document. Assignment 3 (Term paper proposal)

 

The paper should contain the following in order to receive the MAXMIMUM POINTS. Failure to follow these rules will result in a reduced score.

1. Original, Focusd Paper Topic

2. Well Written Paper Abstract

3. Well Qualified, Focused Paper Using Assigned Topic that uses academic research to present a compelling research case

4. When presenting your research, you MUST define any key definitions, concepts, and themes. 

5. When you analyze a quote, it is critical to explain the quote. 

6. If you direct quote, use proper APA format. If you paraphrase, properly cite as well. In-text citations are mandatory. 

7. The use of a MINIMUM of five sources is required that are academic quality.

8 The paper must follow APA format. 

9. You must present a MINIMUM of one data mining/data analytics techniques and explain the technique in the paper against one or more use cases.  

 Requirements: 

 

Submission of paper topic and preliminary references are tied to Assignment #3: Term Paper Proposal. This is worth 100 points (10% of your grade). Based on my feedback, I strongly suggest you refine your topic to optimize the points earned in the final assignment. The final assignment is worth 200 points (20% of your grade).  

Feedback of professor:

 Weak themes – need to be more explicit against the problem. Not just general topics that will be covered. Grammar is pretty rough. You need to focus on what is the specific salient business problem with payers. What type of fraud? Why does DM/DA help solve the issue? Which models can help answer the mail to a use case or two that you might use to prove this point. I need for you to address these issues which you did not hence your score.