COMP3009

COMP3009: Data Mining

Science and Engineering

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About this Unit

This unit will cover the key concepts of data mining with an emphasis on unstructured data analysis and interpretation. The first part of the unit covers the fundamental techniques used to pre-process unstructured data. Next, association rule mining concepts and techniques are reviewed and evaluated. Classification and cluster analysis is then covered in detail. Finally, stream data mining techniques are evaluated in the context of image and network traffic data analysis.

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Unit Details

Credits25

Contact Hours4 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education020119 Artificial Intelligence

Handbook View Official Handbook Page →

Tuition Pattern

Lecture1 x 2 hours weekly
Workshop1 x 2 hours weekly

Prerequisites

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Prerequisites group 2Select One

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