Poll: Data Mining Techniques

KDnuggets : Polls : Data mining techniques (Nov 2003)

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?

KDnuggets : Polls : Data mining techniques (Nov 2003)