Page History: Data Mining (Fall, 2012)

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Page Revision: 2012/08/23 11:20

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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: Write a report on data mining applications Due on Sept. 26

Assignment 2: A classification task Due on Oct. 17

Assignment 3: A clustering task Due on Nov. 7

Assignment 4: Mining from a real-world data set Due on Dec. 5

Lecture slides

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.
  • Machine learning packages for R

• 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