COMPSCI 3DM3 - Introduction to Data Mining

3 unit(s)

Core techniques in big data analytics (knowledge discovery, data mining). Basic concepts of frequent patterns, algorithms for mining frequent patterns from large scale transactional databases. Clustering and classification: k-means, hierarchical k-means, DB-Scan, Gaussian mixture models, decision trees, Bayesian methods, linear classification methods, support vector machines. Practice of big data analytics in business intelligence: data warehousing, data lakes.
Three lectures; one tutorial (one hour); one term
Prerequisite(s):
• One of COMPSCI 2DB3, COMPSCI 3DB3, SFWRENG 3DB3;
• one of COMPSCI 2C03, SFWRENG 2C03, SFWRENG 2MD3, MECHTRON 2MD3;
• one of COMPSCI 2ME3, SFWRENG 2AA4, SFWRENG 3K04, MECHTRON 3K04;
• one of STATS 2D03, STATS 3Y03, IBEHS 3S03, IBEHS 4C03
Offered on an irregular basis.