CSC 466: Knowledge Discovery From Data
Fall 2015

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

Office Hours:

When		Who	Where
Tuesday	9:10am - 10:00am	Alex	14-215
Wednsday	9:10am - 10:00am 11:10am - 12:00pm	Alex	14-215
Thursday	9:10am - 10:00am	Alex	14-215

Additional appoinments: send email.

Final Exam Date:

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

News and Notes

• Welcome to the course! We will have a few of our lab periods designated for technical talks from a variety of visitors from industry and academia. The announcements will be made to the mailing list, in class, and posted here as well. The first talk is scheduled for October 6.

Course Materials

Labs

Lab 1	Due: April 3 (Tuesday)	Data processing	Postscript	PDF	Data	[September 22, 2015]
Lab 2	Due: October 8 (Thursday)	Information Retrieval	Postscript	PDF	Data	[September 29, 2015]
Lab 3	Due: October 22 (Thursday)	PageRank	Postscript	PDF	Data	[October 8, 2015]
Lab 4	Due: November 6 (Thursday)	Supervised Learning (Classification)	Postscript	PDF	Data	[October 27, 2015]
Lab 5	Due: December 4 (Friday)	Unsupervised Learning (Clustering)	Postscript	PDF	Data	[November 23, 2015]
Lab 6	Due: December 4 (Friday)	Association Rules mining	Postscript	PDF	Data	[December 3, 2015]

Projects

Project 1: Data Analytics	Due: December 4		Postscript	PDF	[October 29, 2015]
Project 2: Sci-fi Dystopia	Due: December 8		Postscript	PDF	[October 29, 2015]
Project 3: Parallel PageRank (with CSC 419)	Due: November 15	GoogleDoc			[October 29, 2015]

Lecture Notes

Lecture 1	September 22	What is KDD?	Postscript	PDF	[September 22, 2015]
Lecture 2	September 24	Information Retrieval: measures, models	Postscript	PDF	[September 24, 2015]
Lecture 3	September 29	Information retrieval: extending VSM	Postscript	PDF	[September 24, 2015]
Lecture 4	October 8	PageRank:The Algorithm	Postscript	PDF	[October 13, 2015]
Lecture 5	October 13	Social Network/Graph Mining	Postscript	PDF	[October 13,2015]
Lecture 6	October 20	PageRank: The Math	Postscript	PDF	[October 15, 2015]
Lecture 7	October 27	Classification. Decision Trees	Postscript	PDF	[October 27, 2015]
Lecture 8	October 27	Classification: C4.5. example	Postscript	PDF	[October 27, 2015]
Lecture 9	October 29	Classification: Beyond C4.5.	Postscript	PDF	[October 27, 2015]
Lecture 10	October 29	Naive Bayes	Postscript	PDF	[December 3, 2015]
Lecture 11	November 12	Clustering: K-means	Postscript	PDF	[November 23, 2015]
Lecture 12		Distance Measures	Postscript	PDF	[November 23, 2015]
Lecture 13	November 19	Clustering: Hierarchical	Postscript	PDF	[November 23, 2015]
Lecture 14	November 19	Clustering: Density-based	Postscript	PDF	[November 23, 2015]
Lecture 15	November 24	Association Rules Mining: Apriori	Postscript	PDF	[November 24, 2015]
Lecture 16	November 24	Association Rules Mining: Apriori examples	Postscript	PDF	[November 24, 2015]
Lecture 18	December 3	Collaborative Filtering: Intro	Postscript	PDF	[December 3, 2015]
Lecture 19	December 3	Collaborative Filtering: Evaluation	Postscript	PDF	[December 3, 2015]
Lecture 20		Community Discovery	Postscript	PDF	[]