This week starts with an overview of this course, Data Mining Methods, then focuses on frequent pattern analysis, including the Apriori algorithm and FP-growth algorithm for frequent itemset mining, ...

Regression analysis ... induction paradigm is the association rule. Association rules are about discovering interesting relationships between variables in large databases. It is a technique applied in ...

Data mining focuses on extracting knowledge from large data ... Major topics include spatial interpolation, clustering, association analysis, and supervised and unsupervised classification. Students ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

A practical approach to data mining with large volumes of complex data; prepare, cleanse and explore data; supervised and unsupervised modelling with association rules and market basket analysis, ...