10 Challenges in Data Mining Research

From Qinghua: the 10 challenging problems in data mining research that resulted from an IEEE Conference. The 10 challenging problems are listed below (where the order of the listing does not reflect their level of importance):

• Developing a Unifying Theory of Data Mining
• Scaling Up for High Dimensional Data and High Speed Data 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