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Overview

This unit will cover the key concepts of data mining with an emphasis on model evaluation and interpretation. You will learn the fundamental techniques used to pre-process data and the practical use of data mining workbench. You 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)

Dr Lee How Chinh

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.

Teaching approach

Case-based teaching

Active learning

Assessment

1 - Within semester assessment

Workload requirements

Workload