| Area: |
Department of Computing |
| Credits: |
25.0 |
| Contact Hours: |
3.0 |
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| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
| |
| Workshop: |
1 x 3 Hours Weekly |
| |
| Syllabus: |
This unit is designed for students in the Master of Science (Computer Science). Data mining is the process of automatic discovery of patterns, changes, associations and anomalies in large databases. An introduction to the main topics in data mining and knowledge discovery, including: statistical foundations, association rule discovery, classification and prediction, cluster analysis, mining complex data, applications and trends. The focus will be on the algorithmic and systems issues, as well as application of mining to real-world problems. |
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| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
| |
| Field of Education: | 020101 Formal Language Theory |
| Funding Cluster: | 06 - Computing, Built Environment, Health |
| SOLT (Online) Definitions*: | Supplemental
*Extent to which this unit or thesis utilises online information |
| Result Type: | Grade/Mark |
Availability |
| Availability Information has not been provided by the respective School or Area. Prospective students should contact the School or Area listed above for further information. |
