James Cook University Subject Handbook - 2020

CP5634 - Data Mining

Subject Description

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

• Invigilated > Other exams - (20%)
• Invigilated > End of semester exam - (40%)
• Data Mining Practice - (40%)

Note that 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.

Inadmissible Subject Combinations:  CP3300 CP3403 CP5605

Availabilities