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PAKDD
2004
ACM
108views Data Mining» more  PAKDD 2004»
13 years 10 months ago
A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index
We introduce a numerical measure on sets of partitions of finite sets that is linked to the Goodman-Kruskal association index commonly used in statistics. This measure allows us t...
Dan A. Simovici, Szymon Jaroszewicz
FLAIRS
2006
13 years 6 months ago
Generalized Entropy for Splitting on Numerical Attributes in Decision Trees
Decision Trees are well known for their training efficiency and their interpretable knowledge representation. They apply a greedy search and a divide-and-conquer approach to learn...
Mingyu Zhong, Michael Georgiopoulos, Georgios C. A...
PKDD
2000
Springer
134views Data Mining» more  PKDD 2000»
13 years 9 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
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
14 years 6 months ago
CMP: A Fast Decision Tree Classifier Using Multivariate Predictions
Most decision tree classifiers are designed to keep class histograms for single attributes, and to select a particular attribute for the next split using said histograms. In this ...
Haixun Wang, Carlo Zaniolo
ICML
2004
IEEE
14 years 6 months ago
Decision trees with minimal costs
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
Charles X. Ling, Qiang Yang, Jianning Wang, Shicha...