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  发表日期:2007年7月20日        编辑:admin   有7598位读者读过此文 【字体:  
 
 

第一期:数据挖掘

Data Mining: Foundation, Techniques and Applications
(Organized by Key Lab of Data and Knowledge Engineering in the Renmin University of China)

Lecturers:

Anthony K. H. Tung (鄧锦浩),
Assistant Professor,
School of Computing,
National University of Singapore,

Singapore

Cuiping Li (李翠平),
Associate Professor,
School of Information,
Renmin University of China,
China

Course Description

This course will introduce various data mining techniques, the foundation on which they are developed and their emerging
applications in domains like bioinformatics and multimedia processing. At the end of the course, students can expect to
gain enough understanding of data mining to effectively do research in the area. Topics that will be covered in the course
includes but is not limited to:

- basic spatial, string indexing techniques etc.
- basic data summarization techniques like histograms, data cubes etc.
- basic data mining techniques like association rules mining, classifier induction and clustering analysis etc.
- advanced data mining operators like similarity search functions, skyline computation and dominant relationship analysis
- advanced data mining techniques on high dimensional data and complex structures like sequences, trees and graphs

Audiences

Graduate students or senior undergraduates who are interested to do research in data mining.

Textbooks and Papers

·         Principles of Data Mining, David Hand, Heikki Mannila and Padhraic Smyth, The MIT Press, 2001.

·         J. Han and M. Kamber, Data Mining: Concepts and Techniques,  Second Edition, Morgan Kaufmann, 2006

·         Machine Learning, Tom M. Mitchell, McGrawHill, 1997.

A set of research papers selected by the lectures to be given out later.

Date

4th to 10th of December 2007
2 lessons per day with optional lessons on techniques of doing research in some of the nights.

Charge

The course is free. The audiences need to afford all other fees (such as accommodation, traffic) by themselves.

Location

Lecture Hall, Key Lab of Data and Knowledge Engineering, Renmin University of China, Beijing, China

Application

Send application either to cuiping_li@263.net or atung@comp.nus.edu.sg by  1st October 2007



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