1 Introduction to Data Mining Instructor: Y.T. Wang ( 王耀德 ) Office: 主顧 686 Phone: (04) # Office hours: Wednesday 09:00~13:00

2 Goal The capabilities of both generating and collecting data have been increasing rapidly in the last several decades. Contributing factors include the widespread use of bar codes and popular use of the World Wide Web. The explosive growth in stored data has generated an urgent need for new techniques and automated tools that can intelligently assist us in transforming the vast amounts of data into useful information and knowledge. The course presents an overall picture of data mining, introducing interesting data mining techniques and systems, and discussing applications and research directions.

3 Content Introduction Data warehousing Characterization Association rules Classification Clustering analysis Sequential patterns Web Mining

4 Reference Textbook J. Han and M. Kamber, Data Mining: Concepts and Techniques, 2nd ed., Morgan Kaufmann, ( 東華, ) References R.J. Roiger and M.W. Geatz, Data Mining: A Tutorial- Based Primer, Addison-Wesley, G.M. Marakas, Modern Data Warehousing, Mining, and Visualization: Core Concepts, Prentice Hall, 2003.

5 Grade Midterm: 30% Paper presentation: 20% Term project: 30% Participation: 20% Office hours Wednesday 09:00~13:00