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[交流] 数据挖掘10大挑战性问题

在ICDM2005前夕,美国的吴信东教授等人让世界上这个方向的顶级专家(名单附下)列出了他们各自认为数据挖掘研究领域的10大挑战性问题,然后他们总结这些专家的意见,得出了数据挖掘10大挑战性问题的,很有意义的哦,大家可以根据这些挑战性问题确定自己今后的研究方向,也可以看下自己的研究方向是否在这10大问题中.
1\Developing a Unifying Theory of Data Mining
2\Scaling Up for High Dimensional Data/High Speed Streams
3\Mining Sequence Data and Time Series Data
4\Mining Complex Knowledge from Complex Data
5\Data Mining in a Network Setting
6\Distributed Data Mining and Mining Multi-agent Data
7\Data Mining for Biological and Environmental Problems
8\Data-Mining-Process Related Problems
9\Security, Privacy and Data Integrity
10\Dealing with Non-static, Unbalanced and Cost-sensitive Data

问题来源于以下数据挖掘领域专家:
Pedro Domingos,
Charles Elkan,
Johannes Gehrke,
Jiawei Han,
David Heckerman,
Daniel Keim,
Jiming Liu,
David Madigan,
Gregory Piatetsky-Shapiro,
Vijay V. Raghavan and associates,
Rajeev Rastogi,
Salvatore J. Stolfo,
Alexander Tuzhilin,
Benjamin W. Wah

[ Last edited by 幻影无痕 on 2006-10-25 at 07:53 ]

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