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龙星计划课程——《高级数据挖掘：原理、算法与应用》于2008年7月14日—18日在复旦大学开讲，由美国依里诺大学阿贝纳香宾分校韩家炜教授主讲。
网址： http://www.iipl.fudan.edu.cn/ds08/index.htm
课程讲稿请登陆 http://www.cs.uiuc.edu/homes/hanj/dragon08/index.htm 下载查看。
The course introduces the principles, algorithms, and applications of advanced data mining, including algorithms, methods, implementations and applications of classification, clustering, association and correlation analysis, multidimensional and OLAP analysis, mining sequential and structured data, stream data, text data, Web data, spatiotemporal data, biomedical data and other forms of complex data.
Slides: http://www.cs.uiuc.edu/homes/hanj/dragon08/index.htm
MAJOR TOPICS:
1.General overview of data mining
2.Advanced data integration and preprocessing
3.Data warehouse, data cube, OLAP and multidimensional analysis
4.Frequent pattern and correlation analysis
5.Classification and predictive modeling
6.Cluster analysis
7.Mining sequence and time-series data
8.Mining graphs and structured patterns
9.Link analysis and mining information networks
10.Stream data mining
11.Mining spatial, spatiotemporal, RFID data, trajectories, and moving objects
12.Mining multimedia, text, and web data
13.Data mining applications: Software engineering and bioinformatics
14.Other issues on data mining: visual data mining and privacy-preserving data mining
15.Research frontiers and social impacts of data mining
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