Lecture Material

	PowerPoint	Adobe Acrobat PDF	Postscript
Week 1: Unit Outline and Introduction	Lecture 1	Lecture 1	Lecture 1
Week 2: Market Basket Analysis; Intro. to Machine Learning	Lecture 2	Lecture 2	Lecture 2
Week 3: Preprocessing for Data Mining	Lecture 3	Lecture 3	Lecture 3
Week 4: Data Mining and Statistics; Clustering Techniques	Lecture 4	Lecture 4	Lecture 4
Week 5: Neural Networks 1: Feedforward Neural Networks	Lecture 5	Lecture 5	Lecture 5
Week 6: Neural Networks 2: Self-Organizing Maps	Lecture 6	Lecture 6	Lecture 6
Week 7: Decision Trees	Lecture 7	Lecture 7	Lecture 7
Week 8: Information Visualization	Lecture 8	Lecture 8	Lecture 8
Week 9: Bayesian Classification and Bayesian Networks	Lecture 9	Lecture 9	Lecture 9
Week 10: Hidden Markov Models	Lecture 10	Lecture 10	Lecture 10

If you have any problems with downloading the lectures, please email David.Squire@csse.monash.edu.au