Introduction to Data Mining

CPSC445/CPSC545/MBB334/MBB545/CBB545

Introduction to Data Mining

Outline of topics

Class: 2:30-3:45 pm on Tuesday and Thursday, in 200 AKW
Please visit the course wiki for a detailed list of reading materials.

Jan	16	MS	Introduction to Data Mining
	18	MG	Overview of Data Mining in Bioinformatics Slides: Introduction to Bioinformatics
	23	MS	Data Processing and Intro to R Reading: Fayyad et al. 1996
	25	MS	Supervised Learning and Rattle
	30	MS	Introduction to Classification and Decision Trees Reading: Chapter 4 of Tan et al. 2006
Feb	1	MS	Decision Trees Slides: Decision tree Slides: Ensemble methods
	6	MS	Multilinear and Logistic Regression I Reading: Chapter 6 of Han et al. 2005 (for personal use in this course only) Reading: Chapter 5 of Tan et al. 2005 (for personal use in this course only) Slides: Multilinear and logistic regression
	8	MS	Multilinear and Logistic Regression II
	13	MS	Support Vector Machines (SVM) Slides: SVM Slides: SVM review
	15	MS	Neural Networks, Naive Bayes Slides: Perceptron Models
	20	MG	Molecular Networks as Application of Mining Slides: Introduction to Bioinformatics Slides: Function Prediction & Networks
	22	MS	Unsupervised Learning and Clustering Slides: Clustering Slides: KNN Slides: Clustering review Reading: Modern trends in data mining
	27	MG	Predicting Networks Through Bayesian Inf #1 Slides: Predicting Networks through Bayesian Integration #1 - Theory
Mar	1	MG	Predicting Networks Through Bayesian Inf #2 Slides: Predicting Networks through Bayesian Integration #2 - Application
	6	MG	Applications of Spectral methods (PCA/SVD) #1 Slides: Spectral Methods (PCA,SVD) #1 - Theory
	8	MG	Applications of Spectral methods (PCA/SVD) #2 Slides: Spectral Methods (PCA,SVD) #2 - Application
	27	Max Kuhn	Determining Method of Action in Drug Discovery Using Affymetrix Microarray Data (Dr. Max Kuhn, Pfizer Research Lab) Slides: Determining Method of Action in Drug Discovery Using Affymetrix Microarray Data Slides: About the caret Package
	29	Michael Krauthammer	An Introduction to Text Mining with an Application to the Life Sciences. (Prof. Michael Krauthammer, Yale Medical School) Slides: Text Mining in Biomedicine
Apr	3	JDU	A(n) (extremely) brief/crude introduction to minimum description length (MDL) principle Slides: Intro. to MDL principle
	5	EL	Kernel PCA
	10	Students	Project Reports
	12	Students	Project Reports
	17	Students	Project Reports
	19	Students	Project Reports
	24	Students	Project Reports
	26	Students	Project Reports