James Cook University Subject Handbook - 2020

CP3403 - Data Mining

Subject Description

Students will be introduced in this subject to fundamental data mining and big data concepts, technologies, and applications. Topics include data mining, data warehousing, big data analytics, data visualisation, pre-processing, clustering, classification and association rules mining. Students will gain hands-on experience with popular data mining tools and develop skills in practical data mining and big data analytics.

Learning Outcomes

• explain the notion of big data, information intelligence, data mining, data profiling, data cleaning and data integration and warehousing
• analyse and apply data mining techniques and tools
• examine the working principles of data mining and knowledge discovery in databases
• relate intelligence informatics to data warehousing, big data and data mining
• assess the potential benefits, risks, issues and challenges associated with big data and data mining

Subject Assessment

• Invigilated > End of semester exam - (40%)
• Assignment 1 - (30%)
• Practicals - (20%)
• Presentation - (10%)

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 CP5634

Availabilities