University of Technology SydneyHandbook 2008

32513 Advanced Data Mining Algorithms

6cp
Requisite(s): 32130 Principles and Practice of Data Mining
Postgraduate

Data mining (DM) is an exciting new field combining databases, artificial intelligence, machine learning and visualisation, among others. It is applied in many fields of business, industry and science to support knowledge discovery and understanding of customers, products and processes.

Central to DM are the algorithms themselves. This subject builds on previous DM subjects to give an understanding of how both the basic and more powerful and subtle algorithms function.

Fee information

2008 contribution for post-2008 Commonwealth-supported students: $907.50
Note: Students who commenced prior to 1 January 2008 should consult the Student contribution charges for Commonwealth supported students
Not all students are eligible for Commonwealth Supported places.

2008 amount for undergraduate domestic fee-paying students: $2,430.00

Note: Fees for Postgraduate domestic fee-paying students and international students are charged according to the course they are enrolled in. Students should refer to the Annual Fees Schedule.

Subject EFTSL: 0.125

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at Access conditions and My Student Admin.