數據挖掘的十大挑戰挑戰問題

數據挖掘領域 10 大挑戰性問題：

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