Overview

This unit will cover the key concepts of data mining with an emphasis on model evaluation and interpretation. Students will learn the fundamental techniques used to pre-process data and the practical use of data mining workbench. Students will use data from a variety of sources, be exposed to hands-on case … For more content click the Read More button below.

Offerings

S1-01-MALAYSIA-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Ms Elsa Phung

Learning outcomes

On successful completion of this unit, you should be able to:
1.

understand and differentiate a supervised learning method from an unsupervised learning method

2.

perform data pre-processing in preparation for building data mining models

3.

evaluate and compare the quality of different learning models built

4.

work with appropriate data mining tools efficiently

5.

understand multi-dimensional datasets using various data mining techniques.

Assessment summary

Within semester assessment: 100%

Workload requirements

Workload