CS 548 Fall 2019 - Schedule of Classes

Computer Science Department

CS548 Knowledge Discovery and Data Mining
Schedule of Classes - Fall 2019

PROF. CAROLINA RUIZ

WARNING: Changes to this schedule may be made during the course of the semester.

WEEK	DATE	DUE	TOPIC	READINGS Tan, Steinbach, Kumar's Textbook
0	Aug. 22		Introduction to KDD & Data Mining	Chp. 1
1	Aug. 27 & 29		Data & Data Preprocessing Concepts, instances, attributes Data sampling Missing values Attribute discretization Dimensionality reduction: Feature Selection	Chp. 2
2	Sept. 3 No class on Sept. 5		Data & Data Preprocessing (cont.) Dimensionality reduction: Feature Extraction	Online Appendix B.1
3	Sept. 10 & 12	Project 1 & Test 1	Classification Decision trees Showcase: Decision Trees Project 1 discussion and Test 1	Sect. 3.1-3.3.
4	Sept. 17 & 19	HW	Regression linear regression model trees regression trees Showcase: Model and Regression Trees	Online Appendix D and all numeric prediction materials on Ruiz' lecture notes
5	Sept. 24 & 26	HW	Model construction and evaluation Training and Testing Cross validation Performance evaluation	Sect. 3.4-3.8
6	Oct. 1 & 3	HW	Model Comparison Experimental Design Deep Learning Networks Neural Networks Deep Learning	Sect. 3.9, 4.7-4.8
7	Oct. 8 & 10	Project 2 & Test 2 HW	Deep Learning Networks (cont.) Neural Networks Deep Learning Showcase: Neural Networks and Deep Learning Project 2 discussion and Test 2	Sect. 4.7-4.8
	Oct. 15 & 17		Semester Break
8	Oct. 22 & 24	HW	Cluster Analysis partitioning methods hierarchical methods density-based methods Showcase: Clustering	Chp. 7
9	Oct. 29 & 31	Project 3 & Test 3 HW	Cluster Analysis (cont.) grid-based methods model-based methods Project 3 discussion and Test 3	Chp. 7
10	Nov. 5 & 7	HW	Anomaly Detection statistical approaches proximity-based approaches density-based approaches reconstruction-based approaches Showcase: Anomaly Detection	Chp. 9
11	Nov. 12 & 14	Project 4 & Test 4 HW	Advanced topics Text mining Showcase: Text Mining Project 4 discussion and Test 4	text mining materials marked with ** on Ruiz' lecture notes
12	Nov. 19 & 21	HW	Advanced topics (cont.) Sequence mining Data Visualization Multimedia data mining Showcase: Data Visualization	Sect. 7.4 all visualization materials on Ruiz' lecture notes
	Nov. 26 No class on Nov. 28		Advanced topics (cont.) Web mining Ethical and Societal Implications of Data Mining Showcase: Web Mining	all web mining materials on Ruiz' lecture notes
13	Dec. 3 & 5	Project 5 & Test 5	Project 5 presentations and Test 5
14	Dec. 12 Makeup class (Dec 10)		Project 5 presentations and discussion (cont.) Final remarks