Introduction to Data Mining
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 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]The data mining practice is to apply data mining techniques to recommend suitable emojis for the textual messages. Detailed information could be found here. (Reports due at 23:59, Jun. 18)
