This project aims at familiarizing the concepts of data mining learnt through the course to provide some insights into the topic of interest. With the available software (in Java) such as Weka (http://www.cs.waikato.ac.nz/ml/weka/) and others; and analyzing the datasets obtained from public databases.
Another aim is to promote teamwork and self-learning: Working in a team pays big dividends, it is less stressful and peer support does make learning much easier. Furthermore, in line with NTU vision to ‘Teach less, learn more’, you are encouraged to take the basic skills and principles, coupling with self-reading to handling real work problems.
II. Project Topics for Data Analytics and Mining
Project Objective
The students are expected to practice hand-on skills for how to perform a real-world Data Analytic task from the beginning (data pre-processing - data collection, cleaning, etc) to the final stage (data post-processing - evaluation and presentation, etc ).
You are encouraged to test your approach using existing tools such as Weka, R, Matlab toolbox, etc. After familiarizing the basic steps and see the results, you are encouraged to write your scripts and you may submit it together with your report. If no scripts are writing, you can provide the details steps and commands in deriving your answers.
