Introduction to Data Mining

1
Introduction to Data Mining

• Instructor Y.T. Wang (???)
• Office ??686
• Phone [phone]
• Email ytwang_at_pu.edu.tw
• Office hours Wednesday 09001300

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 , 2006. (??,
  04-24511457)
• References
• R.J. Roiger and M.W. Geatz, Data Mining A
  Tutorial-Based Primer, Addison-Wesley, 2003.
• G.M. Marakas, Modern Data Warehousing, Mining,
  and Visualization Core Concepts, Prentice Hall,
  2003.

5
Grade

• Grade
• Midterm 30
• Paper presentation 20
• Term project 30
• Participation 20
• Office hours
• Wednesday 09001300