10 problems in data mining

10 challenging problem:

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

列出了2005年ICDM会议上给出的数据挖掘10大挑战性问题，希望对大家的学习和研究有所帮助。