1. Objective
The objective of this assignment is to conduct preliminary research on data mining methods used in various application domains. The survey is intended to assist you in establishing a suitable framework (application area, tools, algorithms) on which your mining project will be based.
To achieve this objective, you need to follow the steps below:
1. Select a topic based on the application domain listed in Section 2 topics or you can come up with your own topic but need to confirm it with the teaching team.
2. Read and analyse recent peer-reviewed papers (minimum of 6 articles) on your specific topic.
3. From your research identify at least two themes and discuss these themes by comparing them to the various papers in your research. Some examples of themes are listed below: • Approaches/algorithms to solve the problem
• Scientific results from experimentation
• Perspectives on an issue
• Advantages/disadvantages
4. Express your own opinions, e.g., new ideas, proposed approaches/models, how to extend the existing work, etc. Your opinions about machine learning and data mining related issues should be presented.
5. Write the report using LaTex / Word. Minimum 4 pages (including references) and no more than 6 pages in 2 columnsIEEE proceedings format
2. Topics
You can pick one of the following topics or come up with a topic of your interest.
• Healthcare
• Banking and Finance
• Retail, Customer Relationship Management, Product Recommendation
• Computer Vision
• Fraud Analysis
3. Layout for Research Report
The research report must include:
• Title
• Abstract
• Introduction
• Background/motivation
• Comparison of related work (from peer-reviewed sources)
• Your opinion – new ideas, proposed approaches/models, how to extend the existing work
• Conclusion and future issues
• References
4. Methods
ANN, Method, Methods for Numeric Prediction and Time Series Analysis