CP3300 - Knowledge Discovery and Data Mining

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.

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.