CSC 466: Knowledge Discovery From Data
Spring 2012

Instructor: Alexander Dekhtyar, dekhtyar@csc.calpoly.edu, 14-215

Office Hours:

When		Who	Where
Tuesday	3:10pm - 4:00pm	Alex	14-215
Wednsday	9:10am - 12:00pm	Alex	14-215
Thursday	3:10am - 4:00pm	Alex	14-215

Additional appoinments: send email.

Final Exam Date: Tuesday, June 5, 2012, 10:10 - 12:00pm

(note: there is no final exam, but we may use the time for course-related activities)

News and Notes

• I will be out of town on two occasions in the first three weeks of classes:
  • Thursday, March 29: Dr. Foaad Khosmood will talk about Natural Language Processing in the lecture. You will continue working on Lab 1 assignment in the lab.
  • Tuesday, April 10: Eriq Augustine will hold a lecture. You will be working on Lab 2 during the lab period.

Course Materials

Labs

Lab 1	Due: April 3 (Tuesday)	Data processing	Postscript	PDF	Data	[March 26, 2012]
Lab 2	Due: April 12 (Thursday)	Supervised Learning (Classification)	Postscript	PDF	Data	[April 3, 2012]
Lab 3	Due: April 24	Mining Association Rules	Postscript	PDF	Data	[April 16, 2012]
Lab 4	Due: May 3	Unsupervised Learning (Clustering)	Postscript	PDF	Data	[April 25, 2012]
Lab 5	Due: May 17	Collaborative Filtering	Postscript	PDF	Data	[May 7, 2012]
Lab 6	Due: May 31	Information Retrieval	Postscript	PDF	Data	[May 16, 2012]
Lab 7	Due:	Link Analysis	Postscript	PDF	Data	[May 23, 2012]

Projects

Design Project: Stage 1	Due: May 1, 2012	Stakeholders	Postscript	PDF	[April 24, 2012]
Design Project: Stage 2	Due: June 1/ June 5, 2012	System Design	Postscript	PDF	[May 10, 2012]
Analytical Project	Due: May 31/June 4, 2012	Multiple Datasets	Postscript	PDF	[April 30, 2012]

Lab Data

Lecture Notes

Lecture 1	September 20	What is KDD?	Postscript	PDF	[March 31, 2009]
Lecture 2	September 22	Association Rules Mining: Apriori	Postscript	PDF	[April 12, 2009]
Lecture 3	September 27	Association Rules Mining: Apriori examples	Postscript	PDF	[April 14, 2009]
Lecture 4	September 29	Classification. Decision Trees	Postscript	PDF	[April 20, 2009]
Lecture 5	October 4	Classification: C4.5. example	Postscript	PDF	[April 22, 2009]
Lecture 6	October 6	Classification: Beyond C4.5.	Postscript	PDF	[April 25, 2009]
Lecture 7	October 11	Clustering: K-means	Postscript	PDF	[April 29, 2009]
Lecture 8		Distance Measures	Postscript	PDF	[April 29, 2009]
Lecture 9	October 13	Clustering: Hierarchical	Postscript	PDF	[May 7, 2009]
Lecture 10	October 20	Collaborative Filtering: Intro	Postscript	PDF	[May 14, 2009]
Lecture 11	October 27	Collaborative Filtering: Evaluation	Postscript	PDF	[November 1, 2010]
Lecture 12	November 1	Information Retrieval: measures, models	Postscript	PDF	[May 20, 2009]
Lecture 13	November 3	Information retrieval: extending VSM	Postscript	PDF	[May 25, 2009]
Lecture 14	November 10	Social Network/Graph Mining	Postscript	PDF	[November 10, 2010]
Lecture 15	November 15	PageRank:The Algorithm	Postscript	PDF	[May 28, 2009]
Lecture 16		PageRank: The Math	Postscript	PDF	[June 1, 2009]
Lecture 17	November 17	Community Discovery	Postscript	PDF	[November 10, 2010]
Lecture 17	December 1	Naive Bayes	Postscript	PDF	[June 3, 2009]