CS6405 - Datamining

Lecturer: Dr. Barry O'Sullivan
Office Hours: By appointment through the CS Secretary.

About this Module. This is an introduction to datamining. We will focus, specifically on building practical applications and systems. The WEKA datamining system will be used throughout the module.

Recommended Texbook. Ian Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques: Second Edition, Morgan Kaufmann, June 2005, 525 pages, Paper ISBN 0-12-088407-0.

Workload. Students must attend all lectures. Students are expected to spend at least 3 hours per week in private study.

Lectures: 2pm Tuesday (WGB_G18) and 2pm Thursday (WGB_G13)
Coursework: Project #1: Spec | Data | Model; Project #2: Spec | Data
Data-sets: Weather | Contact Lenses
Assessment: Total marks 100: Final Year Exam 50 marks, Coursework 50 marks.

Teaching Materials.