CS290D - Advanced Data Mining home | schedule | project | readings 


April 18 class is moved to April 22 (PHELP 1401, Friday afternoon at 1:00-2:50pm)

April 11 class is moved to April 15 (PHELP 1401, Friday afternoon at 1:00-2:50pm)

Lecture Slides (protected)

Abstract: This is a graduate-level (or advanced) course on data mining.  It introduces the principles, algorithms, and applications of sequential pattern, graph mining, link analysis, social network, streaming data,  massive data analysis, and other topics in data mining.

Each student is expected to write reviews (two papers) every week, do two homework assignments, present one paper and lead the discussion after his/her presentation, and complete a research project.

Prerequisites: CS130

Enrollment Code: 08631,  Instructor: Prof. Xifeng Yan , Email: xyan at cs.ucsb.edu

Time: Monday/Wednesday 3:00-4:50pm, Location: PHELP 1401  Office Hour:  Wed 5:00-6:00pm or by appointment

Grading: Your grade will be derived from paper reviews (25%), homework (15%) a class presentation  (20%), and the project (40%).

Text Books (not required, optional): (1) J. Han and M. Kamber, Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann, 2006; (2) A. Rajaraman and J. Ullman: Mining of Massive Datasets (free copy available online) (3) C. Bishop, Pattern Recognition and Machine Learning, Springer 2007; (4) S. Theodoridis and K. Koutroumbas, Pattern Recognition, Fourth Edition, 2008