数据挖掘领域的十大挑战
2013-04-25 20:36
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数据挖掘领域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
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
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