CP5634 - Data Mining
Credit points: | 03 |
Year: | 2019 |
Student Contribution Band: | Band 2 |
Administered by: |
This subject focuses on advanced data mining techniques for intelligence informatics. It provides an in-depth coverage of the need for big data analysis, data warehousing, big data analytics, predictive methods, scalability considerations, data visualisation, and data mining techniques. Students will gain hands-on experience with various data mining tools and embedding data mining in intelligent informatics solutions.
Learning Outcomes
- explain the importance of big data analysis and data mining;
- identify and critically evaluate data mining techniques and tools;
- compare and evaluate appropriate techniques for clustering, classification and association rules mining;
- assess the potential benefits, risks, issues and challenges associated with big data and data mining;
- explore and analyse data mining patterns for intelligence informatics.
Inadmissible Subject Combinations: | CP3300 CP3403 CP5605 |
Availabilities | |
Townsville, , Study Period 1 | |
Census Date 28-Mar-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
JCU Singapore, , Study Period 51 | |
Census Date 11-Apr-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
JCU Singapore, , Study Period 52 | |
Census Date 08-Aug-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
JCU Singapore, , Study Period 53 | |
Census Date 05-Dec-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
JCU Brisbane, , Study Period 21 | |
Census Date 11-Apr-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
JCU Brisbane, , Study Period 22 | |
Census Date 08-Aug-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
JCU Brisbane, , Study Period 23 | |
Census Date 05-Dec-2019 | |
Contact hours: |
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Assessment: | end of semester exam (40%); other exams (20%); data mining practice (40%). |
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.