Data Mining Methods

Poll

Data mining/ analytic methods you used frequently in the last year: [176 voters] Decision Trees/Rules (90) 51.1% Clustering (70) 39.8% Regression (67) 38.1% Statistics (64) 36.4% Association rules (54) 30.7% Visualization (38) 21.6% SVM (31) 17.6% Neural Nets (31) 17.6% Sequence/Time series analysis (24) 13.6% Bayesian (24) 13.6% Nearest Neighbor (20) 11.4% Boosting (17) 9.7% Hybrid methods (14) 8.0% Bagging (13) 7.4% Genetic algorithms (12) 6.8% Other (4) 2.3%

Note from the Editor:
Percentages are given relative to the number of voters. The average number of methods per voter was 3.2.

Here are the results of 2005 KDnuggets Poll on Data mining/analytic techniques.
The percentages in 2005 are not directly comparable since they were computed relative to the number of votes, and not to the number of voters (as in 2006), but we can compare rankings.

We see that the top 4 methods are the same

The methods that significantly gained/lost in ranking were:

Method	2006 Rank	2005 rank	Gain/Loss
Association Rules	5	7	+2
SVM	7	9	+2
Sequence/Time series analysis	9	11	+2
Nearest Neighbor	11	8	-3
Neural Nets	8	6	-2