Data Mining Techniques

Poll

What data mining techniques you use regularly? [768 choices from 213 voters] Decision Trees/Rules (120) 16% Clustering (93) 12% Statistics (92) 12% Neural networks (71) 9% Logistic regression (69) 9% Visualization (55) 7% Association rules (42) 5% Nearest neighbor (38) 5% Text mining (30) 4% Web mining (29) 4% Bayesian nets / Naive Bayes (24) 3% Sequence analysis (24) 3% SVM (Support Vector Machine) (24) 3% Hybrid methods (23) 3% Genetic algorithms(12) 2% Other (22) 3%

Comments

Karl Rexer, Other techniques
In addition to the standard statistical tools & standard decision trees, I''ve also been seeing great results with these data mining techniques:
-- Aggregating hundreds of CART trees to form one model using BAGGING (bootstrap aggregation) or ARCing (Adaptive Resampling & Combining)
-- Spline regression using MARS (Multivariate Adaptive Regressoin Splines)
-- Friedman's MART (Stochastic Gradient Boosting) using Salford's TreeNet software. It's like ARCing on steroids!

Bruno, Other techniques
SRM: Robust Regression
Supervised clustering

Editor, Data Mining Techniques
What data mining techniques you use regularly?