CMPUT 697 - Introduction to Knowledge Discovery and Data Mining

Overview

This course will introduce principles of Knowledge Discovery and Data Mining with a focus on unsupervised data mining methods with a focus on multi-dimensional and spatial data. In the first part of the course, the instructor will provide background lectures, and in the second part, students will present research papers, and present at the end the results of their course project.

Objectives

You will gain an understanding of principles of knowledge discovery in data, including foundations and algorithmic aspects of selected data mining methods for:

  • Clustering
  • Outlier Detection
  • Classification
  • Association rules
  • Spatial data

Gain hands-on experience and deeper understanding of (at least) one data mining method in a course project.

Course Work

  • Assignments
  • Projects
  • Presentations
  • Exam