Page History: Data Mining (Fall, 2012)

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Page Revision: 2012/08/17 13:04


Information

  • Course Number: 081202B3
  • To: M. Sc. students of Department of Computer Science and Technology, Nanjing University.
  • Number of Students: 150
  • 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: Data visualization

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.


  • KDnuggets A website for data mining resources.

The end