Data mining is the computational process of discovering patterns from large data sets. This unit discusses concepts and techniques of data warehousing and mining. Data mining is one of the most advanced tools used by IT industries. The topics covered include introduction to data warehousing, data pre-processing and foundational data mining techniques such as supervised learning including regression and classification, and unsupervised learning such as clustering and association rules. Students will perform data mining tasks with neural networks, as well as be exposed to open-source data mining software. In this process, students are to design solutions for data privacy, practice with professional ethics.
On successful completion of this unit, students will be able to:
Required readings will be made available on VU Collaborate.
This unit is studied as part of the following course(s):