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» Improving Stability of Decision Trees
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ECML
2007
Springer
14 years 1 months ago
Ensembles of Multi-Objective Decision Trees
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
Dragi Kocev, Celine Vens, Jan Struyf, Saso Dzerosk...
ICDE
2000
IEEE
130views Database» more  ICDE 2000»
14 years 11 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
ILP
2005
Springer
14 years 3 months ago
Predicate Selection for Structural Decision Trees
Abstract. We study predicate selection functions (also known as splitting rules) for structural decision trees and propose two improvements to existing schemes. The first is in cl...
Kee Siong Ng, John W. Lloyd
DAC
1989
ACM
14 years 1 months ago
A New Approach to the Rectilinear Steiner Tree Problem
: We discuss a new approach to constructing the rectilinear Steiner tree (RST) of a given set of points in the plane, starting from a minimum spanning tree (MST). The main idea in ...
Jan-Ming Ho, Gopalakrishnan Vijayan, C. K. Wong
VLDB
1998
ACM
120views Database» more  VLDB 1998»
14 years 1 months ago
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Classification is an important problem in data mining. Given a database of records, each with a class label, a classifier generates a concise and meaningful description for each c...
Rajeev Rastogi, Kyuseok Shim