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ICML
2000
IEEE
16 years 7 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
CBMS
2007
IEEE
16 years 15 days ago
Increasing Acceptability of Decision Trees with Domain Attributes Partial Orders
There are several domains, such as health-care, in which the decision process usually has a background knowledge that must be considered. We need to maximize the accuracy of the m...
Joan Albert López-Vallverdú, David R...
ICML
1998
IEEE
16 years 7 months ago
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
Michael J. Kearns, Yishay Mansour
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 6 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
DIS
2005
Springer
15 years 11 months ago
Movement Analysis of Medaka (Oryzias Latipes) for an Insecticide Using Decision Tree
Abstract. Behavioral sequences of the medaka (Oryzias latipes) were continuously investigated through an automatic image recognition system in response to medaka treated with the i...
Sengtai Lee, Jeehoon Kim, Jae-Yeon Baek, Man-Wi Ha...