列举数据挖掘领域的十大挑战问题。
在ICDM2005前夕,美国的吴信东教授等人让世界上这个方向的*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.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-ProcessRelated Problems
9.Security,Privacy and Data Integrity
10.Dealing with Non-static, Unbalanced and Cost-sensitive Data