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CP5634 - Data Mining
| Credit points: | 3 |
| Year: | 2021 |
| Student Contribution Band: | Band 2 |
| Administered by: | College of Science and Engineering |
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.
Subject Assessment
- Written > Examination (centrally administered) - (40%) - Individual
- Written > Test/Quiz 1 - (20%) - Individual
- Written > Project report - (40%) - Group.
| Inadmissible Subject Combinations: |
CP3300 CP3403 CP5605 |
Availabilities |
|
| Townsville, Internal, Study Period 1 | |
| Census Date 25-Mar-2021 | |
| Coord/Lect: | Professor Ickjai Lee. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| Cairns, Internal, Study Period 1 | |
| Census Date 25-Mar-2021 | |
| Coord/Lect: | Professor Ickjai Lee. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 51 | |
| Census Date 08-Apr-2021 | |
| Coordinator: | Professor Ickjai Lee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 53 | |
| Census Date 02-Dec-2021 | |
| Coordinator: | Professor Ickjai Lee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Singapore, Internal, Study Period 52 | |
| Census Date 05-Aug-2021 | |
| Coordinator: | Professor Ickjai Lee |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 21 | |
| Census Date 11-Mar-2021 | |
| Coordinator: | Professor Ickjai Lee |
| Lecturers: | Dr Paul Darwen, Dr Ahmad Abdel-Hafez. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 22 | |
| Census Date 24-Jun-2021 | |
| Coordinator: | Professor Ickjai Lee |
| Lecturers: | Dr Paul Darwen, Dr Ahmad Abdel-Hafez. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
| JCU Brisbane, Internal, Study Period 23 | |
| Census Date 07-Oct-2021 | |
| Coordinator: | Professor Ickjai Lee |
| Lecturer: | Dr Paul Darwen. |
| Workload expectations: |
The student workload for this 3 credit point subject is approximately 130 hours.
|
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.