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.

Data mining faces three major challenges: transfer learning, social learning, and mobile context mining, which can be addressed and positively impact society in the near future.

Three challenges in data mining

Key Takeaway: Data mining faces three major challenges: transfer learning, social learning, and mobile context mining, which can be addressed and positively impact society in the near future.