Introduction to Data Mining            

[Course Information] [Slides] [Reading Materials] [Assignments] [Data Mining Practice]

Course Information 
  Course Number: 22010230
  To: Undergraduate students of Department of Computer Science and Technology, Nanjing University.
  Number of Students: 150
  Classroom: I-106, Main Teaching Building, Xianlin Campus
  Time: 10:10 -- 12:00, every Tuesday
  Office Hour: 13:30 -- 14:30, every Tuesday   (Rm 917)
Text Book: J. Han, M. Kamber, J. Pei. Data Mining: Concepts and Techniques, 3rd edition. Elsevier Inc, 2012
Main Reference Book: [1] C. C. Aggarwal. Data Mining: The Textbook. Springer, 2015.
[2] P.-N. Tan, M. Steinbach, V. Kumar. Introduction to Data Mining, Addison-Wesley, 2006.
[3] I. H. Witten, E. Frank. Data Mining: Practical Machine Learning Tools and Techniques, 3rd edition. Morgan Kaufmann Publishers, 2011
[4] D. Hand, H. Mannila, P. Smyth. Principles of Data Mining. MIT Press, MA:Cambridge, 2001.
Grading: Final exam (30%) + Assignments (30%) + Data Mining Practice (40%)
  TA: Mr. Yi-Fan Ma, Mr. Wen-Yu Tang, and Mr. Yang Cao


Slides      (The slides would appear on this web page just after the corresponding chapter is introduced.)
               Part 1:    Introduction
               Part 2:    Data Cube and OLAP
               Part 3:    Data Preprocessing
               Part 4:    Association
               Part 5:    Prediction
               Part 6:    Clustering
               Part 7:    Outlier Analysis
               Part 8:    Mining the Text and Web Data

Reading Materials
              Matrix Cookbook

              The Assignment 1 is released, please check the slides of Part 3. (Due on class at 12:00, Apr. 9).  
              The Assignment 2 is released, please check the slides of Part 4. (Due at 23:59, Apr 23.).   [data & requirement] [Submission Links]
              The Assignment 3 is released, please check the slides of Part 5. (Due at 23:59, May 24.).   [data & requirement] [Submission Links]

Data Mining Practice 
      To be announced...