Leader: K M Ting
Gippsland First semester 2006 (Day)
Gippsland First semester 2006 (OCL)
Hong Kong First semester 2006 (OCL)
Malaysia First semester 2006 (Day)
OS-HKG-CID First semester 2006 (OCL)
Singapore First semester 2006 (OCL)
Gippsland SA-02 2006 (OCL)
Hong Kong SA-02 2006 (OCL)
Singapore SA-02 2006 (OCL)
Synopsis: In the modern corporate world, data is viewed not only as a necessity for day-to-day operation, it is seen as a critical asset for decision making. However, raw data is of low value. Succinct generalizations are required before data gains high value. Data mining produces knowledge from data, making feasible sophisticated data-driven decision making. This unit will provide students with an understanding of the major components of the data mining process, the various methods and operations for data mining, knowledge of the applications and technical aspects of data mining, and an understanding of the major research issues in this area.
Objectives: 1. Knowledge of characteristics of major components of the data mining process; 2. Knowledge of current data mining methods, operations and major application areas; 3. Understanding of current major research issues; 4. Skills in using data mining tools to solve data mining problems.
Assessment: Exam(3hour):60%; Assignments:40%
Contact Hours: one x 2hr lecture/week, one x 2hr tutorial/week