在ICDM2005前夕,美國的吳信東教授等人讓世界上這個方向的頂級專家列出了他們各自認爲數據挖掘研究領域的10大挑戰性問題,然後他們總結這些專家的意見,得出了數據挖掘10大挑戰性問題:
- Developing a Unifying Theory of Data Mining
- Scaling Up for High Dimensional Data/High Speed Streams
- Mining Sequence Data and Time Series Data
- Mining Complex Knowledge from Complex Data
- Data Mining in a Network Setting
- Distributed Data Mining and Mining Multi-agent Data
- Data Mining for Biological and Environmental Problems
- Data-Mining-Process Related Problems
- Security, Privacy and Data Integrity
- Dealing with Non-static, Unbalanced and Cost-sensitive Data
