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

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Abstract: This is a graduate-level course on data mining.  It introduces the principles, algorithms, and applications of basic data mining/machine learning, graph analysis, text mining, and hot topics in data mining.

Each student is expected to do one homework, one midterm, present one paper and lead the discussion after his/her presentation, and complete a research project.

Prerequisites: CS130

Enrollment Code: 08706,  Instructor: Prof. Xifeng Yan , Email: xyan at cs.ucsb.edu

Time: Tuesday/Thursday 1:00- 2:50pm, Location: PHELP 2510  Office Hour:  Tuesday 3:00-4:00pm or by appointment

TA Office Hour: Alex Morales: Friday 11am-12pm. Phelps 1412.

Grading: Your grade will be derived from homework (20%), midterm (20%),  paper presentation  (20%),  project presentation/demo (20%), and project reports (20%).

Text Books (not required)

Homework 1 is in the Lecture notes/assignment directory

Lecture notes (limited access)