数据挖掘领域的10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. 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