数据挖掘领域的十大挑战性问题

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:

1.Developinga Unifying Theory of Data Mining

2.ScalingUp for High Dimensional Data/High Speed Streams

3.MiningSequence Data and Time Series Data 

4.MiningComplex Knowledge from Complex Data

5.DataMining in a Network Setting

6.DistributedData Mining and Mining Multi-agent Data

7.DataMining for Biological and Environmental Problems

8.Data-Mining-ProcessRelated Problems

9.Security,Privacy and Data Integrity

10.Dealingwith Non-static, Unbalanced and Cost-sensitive Data