CS 548 Spring 2015 - Schedule of Classes

Computer Science Department

CS548 Knowledge Discovery and Data Mining
Schedule of Classes - Spring 2015

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
1	Jan. 20		Introduction to KDD & Data Mining Introduction to Weka Data & Data Preparation Concepts, instances, attributes Data preprocessing Attribute selection	Chp. 1, 2 & 3
	Jan. 27		Class cancelled because of snow
2	Feb. 3		Quiz Introduction to Python Data & Data Preparation (cont.) Data integration Data warehousing & OLAP Dimensionality reduction	Chp. 1, 2 & 3, Appendix B
3	Feb. 10	Project 1	Quiz Mining process Training and Testing Cross validation Performance evaluation Project 1 presentations and discussion	Sect. 4.5
4	Feb. 17		Quiz Classification Decision trees Showcase	Sect. 4.1-4.4.
5	Feb. 24		Quiz. See Quiz 4 Solutions Numeric Predictions linear regression model trees regression trees Showcase	Appendix D. Witten's, Frank's, and Hall textbook: Sect. 3.3, 4.6 (linear regression), and 6.6; and corresponding slides and all resources at Prof. Ruiz's Lecture Notes.
6	Mar. 3	Project 2	Quiz Association Analysis association rules Project 2 presentations and discussion Showcase	Same as assigned readings for Feb. 24th.
	Mar. 10		Spring Break
7	Mar. 17		Quiz Association Analysis (cont.) association rules Showcase	Sect. 6.1-6.3, 6.7-6.9.
8	Mar. 24		Quiz Cluster Analysis partitioning methods hierarchical methods Showcase	Sect. 8.1-8.3.
9	Mar. 31	Project 3	Quiz Cluster Analysis (cont.) density-based methods model-based methods clustering evaluation Project 3 presentations and discussion Showcase	Sect. 8.4-8.5.
10	Apr. 7		Quiz Anomaly Detection model-based methods proximity-based methods density-based methods Showcase	Chp. 10
11	Apr. 14	Project 4	Quiz Advanced topics Visualization Text mining Project 4 presentations and discussion Showcase	Section 3.3. All posted visualization resources COMAD 2010 tutorial slides on IR and text mining in bioinformatics: Part I and Part II. Focus on the CS aspects of the tutorial above (not the biology aspects). Use the online textbook Christopher D. Manning, Prabhakar Raghavan & Hinrich Schütze. "Introduction to Information Retrieval" as a reference to learn about any information retrival or text mining terminology from the COMAD tutorial that you don't know/understand.
12	Apr. 21		Quiz Advanced topics (cont.) Sequence mining Multimedia data mining Showcase	Sect. 7.4
13	Apr. 28	Project 5	Quiz Advanced topics (cont.) Web mining Industrial applications of data mining Scientific applications of data mining Project 5 presentations and discussion Showcase	"Web Mining - Accomplishments & Future Directions." by Jaideep Srivastava, Prasanna Desikan, and.Vipin Kumar. Optional: Jaideep Srivastava's Web Mining Tutorial.
14	May 5		Project 5 presentations and discussion (cont.) Final remarks Showcase