Page History: Data Mining (Fall, 2012)
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Page Revision: 2012/08/17 14:00
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Information
Course Number
: 081202B3
To
: M. Sc. students of Department of Computer Science and Technology, Nanjing University.
Classroom
: 233, Computer Science and Technology Building, Xianlin Campus
Time
: 16:00 -- 17:50, Wednesday
Office Hour
: 14:30 - 15:30, Wednesday (Rm 917)
Text Book
: D. Hand, H. Mannila, P. Smyth. Principles of Data Mining. MIT Press, MA:Cambridge, 2001.
Main Reference Books
:
J. Han, M. Kamber. Data Mining: Concepts and Techniques, 2nd edition. Morgan Kaufmann Publishers, 2006
I. H. Witten, E. Frank. Data Mining: Practical Machine Learning Tools and Techniques, 2nd edition. Morgan Kaufmann Publishers, 2005
P.-N. Tan, M. Steinbach, V. Kumar. Introduction to Data Mining, Addison-Wesley, 2006.
Grading
: Final exam (50%) + assignment 1 (12.5%) + assignment 2 (12.5%) + assignment 3 (12.5%) + assignment 4 (12.5%)
TA
: Mr.
Chao Qian
Assignments
Assignment 1:
A visualization task
Assignment 2:
A classification task
Assignment 3:
A clustering task
Assignment 4:
Mining a real-world data
Lectures
9/12
: Introduction
9/19
: Data quality
9/26
: (TBD)
Links
Weka
An open source (Java) machine learning/data mining algorithms software.
R Project
An open source platform for statistic computing using R script language.
ACM SIGKDD
The website of the ACM Special Interest Group on Knowledge Discovery and Data Mining.
ACM SIGKDD Explorations Newsletters
A magazine of SIGKDD.
KDnuggets
A website for data mining resources.
The end