CP3300 - Knowledge Discovery and Data Mining
| Credit points: | 03 |
| Year: | 2016 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Business, Law & Governance |
This subject is an introduction to principles, techniques and applications of data mining and knowledge discovery. This subject covers a broad spectrum of data mining encompassing the basics of data mining, knowledge discovery in databases, preprocessing, data warehousing, scalable clustering, classification, ensemble, exploratory data analysis, market basket analysis, association rules mining and domain specific applications.
Learning Outcomes
- Understand the working principles of data mining and knowledgge discovery in databases;
- Develop data mining techniques using C++/Java;
- Analyse large datasets using data mining techniques;
- Use contemporary data mining suites.
| Prerequisites: | CP1500 OR CP2404 AND 12 CREDIT POINTS OF CP SUBJECTS |
| Inadmissible Subject Combinations: | CP5605 CP3403 CP5634 |
Availabilities | |
| Townsville, Internal, Study Period 1 | |
| Census Date 24-Mar-2016 | |
| Coordinator: | Dr Joanne Lee |
| Lecturer: | Dr Hossein Ghodosi. |
| Contact hours: |
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| Assessment: | end of semester exam (50%); presentations (10%); assignments (20%); report (20%). |
| Cairns, Internal, Study Period 1 | |
| Census Date 24-Mar-2016 | |
| Coordinator: | Dr Joanne Lee |
| Lecturer: | Dr Hossein Ghodosi. |
| Contact hours: |
|
| Assessment: | end of semester exam (50%); presentations (10%); assignments (20%); report (20%). |
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 11-Aug-2016 | |
| Coordinator: | Dr Joanne Lee |
| Contact hours: |
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| Assessment: | end of semester exam (50%); presentations (10%); assignments (20%); report (20%). |
| Beijing UT, Internal, Study Period 68 | |
| Census Date 12-May-2016 | |
| Coordinator: | Dr Joanne Lee |
| Lecturer: | Dr Hossein Ghodosi. |
| Contact hours: |
|
| Assessment: | end of semester exam (50%); presentations (10%); assignments (20%); report (20%). |
Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.