Three challenges in data mining

Authors:
Qiang Yang
Affiliations:
Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China
Venue:
Frontiers of Computer Science in China
Year:
2010

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Abstract

In this article, I will discuss three challenges in today's data mining field. These challenges include: the transfer learning challenge, the social learning challenge and the mobile context mining challenge. I pick these three challenges because I think time is ripe for each of them to be addressed in a major way in the near future, given the current technological and societal readiness to tackle them. I also believe that each of the three challenges discussed in this article will help move the science and engineering of data mining forward, and have a great impact on society.