1. Asst. Prof. Sotarat Thammaboosadee, Ph.D.
EGIT532- Data Science and Big Data Analytics Individual Project Specification
Asst. Prof. Sotarat Thammaboosadee, Ph.D.

2. Project Individual Project. Submit report in pdf via email.
Before 12 May 2019
subject: project-61xxxxx

3. Topics Problems Source of Data Data Mining Tasks Data Mining Process
Business understanding
Data understanding
Data preprocessing
Model building
Model Evaluation
Deployment

4. Problems
What are the motivations to apply data science with your data?

5. Source of Data Any data sources
At least 10,000 examples
At least 8 attributes or text data
But if you take more concentration for this stage, it may be a part of your thesis/thematic paper.

6. Data Mining Tasks Classification Clustering Association Etc…. What?
Why?
Association
Etc….

7. Business Understanding
Provide some paragraph to introduce your work.

8. Presentation
Please provide one or more flow chart of your data mining process.
You may capture the Rapidminer workflow
Please rename each box in a meaningful name

9. Data Understanding Type of each attributes Example data set Meaning?
Statistical report
Data profile
Visualization

10. Data preprocessing More than one method
State the reason why you choose them.
Data visualization or profiling of each processing step

11. Model building More than one algorithm
Maybe several algorithm in one model, depend on your design
More (reasonable) complex process will get more points

12. Model Evaluation
Compare between each preprocessing method and each algorithm
Select appropriate criteria

13. Deployment What do you obtain from the results? Using visualization
Knowledge
Application
Policy
Etc…