Leader: Kai Ming Ting

Offered

Gippsland First semester 2008 (Off-campus)
Gippsland Summer semester A 2008 (Off-campus)
Hong Kong First semester 2008 (Off-campus)
Singapore First semester 2008 (Off-campus)
Singapore Summer semester A 2008 (Off-campus)

Synopsis

This unit will provide students with the motivation and the need for data mining, an understanding of the major components of the data mining process, the basic principles of various methods and operations for data mining, knowledge of key and emerging application areas, case studies to bridge the connection between hands-on experience and real-world applications, practical skills in solving data mining problems, and expose students to the current major research issues in this area.

Objectives

At the completion of this unit, students will have knowledge of:

1. the motivation and the need for data mining
2. characteristics of major components of the data mining process;
3. the basic principles of methods and operations for data mining;
4. case studies to bridge the connection between hands-on experience and real-world applications;
5. key and emerging application areas;
6. skills in using data mining tools to solve data mining problems;
7. understanding of current major research issues.

Assessment

Assignments: 40%
Examination (3 hours): 60%

Prohibitions

COT5230 or translation set GCO5828