Important Data Mining Topics

Poll

Which of the following Data Mining (DM) topics are most important for your work or research? (Choose top 3) [113 voters] Scaling up DM algorithms for huge data (46) 41% Mining text (33) 29% Automating data cleaning (30) 27% Dealing with unbalanced and cost-sensitive data (29) 26% Mining data streams (20) 18% Mining links and networks (19) 17% Unified theory of DM (18) 16% DM for biological problems (16) 14% DM with privacy (10) 8.9% Mining images (8) 7.1% DM for security applications (6) 5.4% Distributed (multi-agent) DM (4) 3.6% Other (21) 8%

Comments

Editor, Cost-sensitive data
By "Cost-sensitive" data I mean data which has different cost to get it.
E.g. for a medical diagnosis, we can use data from a blood test or a spinal fluid test, but blood test is much cheaper (and easier) to get than a spinal fluid test.
Making decision in such cases (which is really all the real-world cases) requires combining accuracy and other metrics with the cost of getting the data.