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.
Text Books (not required)
Homework 1 is in the Lecture notes/assignment directory
Lecture notes (limited access)