TOP 5 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

Abstract

We took an initiative to identify 10 challenging problems 
in data mining research, by consulting some of the most active 
researchers in data mining and machine learning for their opinions on 
what are considered important and worthy topics for future research in 
data mining. We hope their insights will inspire new research efforts, 
and give young researchers (including PhD students) a high-level 
guideline as to where the hot problems are located in data mining. 
Due to the limited amount of time, we were only able to send out our 
survey requests to the organizers of the IEEE ICDM and ACM KDD 
conferences, and we received an overwhelming response. We are very 
grateful for the contributions provided by these researchers despite their 
busy schedules. This short article serves to summarize the 10 most 
challenging problems of the 14 responses we have received from this 
survey. The order of the listing does not reflect their level of 
importance.