Data Mining

AY2025/2026 Semester 1

This course covers the principles and techniques of data mining for extracting information from large amounts of numerical data. The information mined from data is often in the form of associations, patterns or specific facts, that can be synthesized to create new knowledge, construct prediction models or used in decision making. The class will be run partly in a project-based/problem-based style. Lab sessions and the class project will provide students with hands-on experience with a data mining software. The approach taken in the course is a how-to-do-it, how-does-it-work and how-to-apply-it kind of approach, to develop the student's common sense ability to manipulate and analyze data intelligently for deriving new knowledge or supporting decision making.