Data Mining Techniques (Feb 2005)

Poll

Data mining/analytic techniques you use frequently: [784 votes total] Decision Trees/Rules (107) 14% Clustering (101) 13% Regression (90) 11% Statistics (80) 10% Visualization (63) 8% Neural Nets (61) 8% Association rules (54) 7% Nearest Neighbor (34) 4% SVM (Support vector machine) (31) 4% Bayesian (30) 4% Sequence/Time series analysis (26) 3% Boosting (25) 3% Hybrid methods (23) 3% Bagging (20) 3% Genetic algorithms (19) 2% Other (20) 3%

Comments

Ralf Klinkenberg, Concept drift detection & handling, topic tracking
Regurlarly used other data mining methods:

• methods for concept drift detection and handling (in classification tasks using Support Vector Machines), e.g. concept/topic tracking
• methods for chance detection