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