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Introduction to Data Mining
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Instructor: Y.T. Wang (王耀德)
Office: 主顧686
Phone: (04)26328001#18114
Email: [email protected]
Office hours: Wednesday 09:00~13:00
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Goal
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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.
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Content
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Introduction
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Data warehousing
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Characterization
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Association rules
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Classification
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Clustering analysis
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Sequential patterns
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Web Mining
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Reference
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Textbook
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J. Han and M. Kamber, Data Mining: Concepts and
Techniques, 2nd ed., Morgan Kaufmann , 2006. (東華,
04-24511457)
References
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R.J. Roiger and M.W. Geatz, Data Mining: A TutorialBased Primer, Addison-Wesley, 2003.
G.M. Marakas, Modern Data Warehousing, Mining, and
Visualization: Core Concepts, Prentice Hall, 2003.
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Grade
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Grade
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Midterm: 30%
Paper presentation: 20%
Term project: 30%
Participation: 20%
Office hours
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Wednesday 09:00~13:00
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