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ICML
2000
IEEE
14 years 5 months ago
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
Chris Drummond, Robert C. Holte
PKDD
2000
Springer
134views Data Mining» more  PKDD 2000»
13 years 8 months ago
Induction of Multivariate Decision Trees by Using Dipolar Criteria
A new approach to the induction of multivariate decision trees is proposed. A linear decision function (hyper-plane) is used at each non-terminal node of a binary tree for splittin...
Leon Bobrowski, Marek Kretowski
IJCAI
1989
13 years 5 months ago
Generating Better Decision Trees
A new decision tree learning algorithm called IDX is described. More general than existing algorithms, IDX addresses issues of decision tree quality largely overlooked in the arti...
Steven W. Norton