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» Generating Better Decision Trees
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AAAI
1990
13 years 9 months ago
What Should Be Minimized in a Decision Tree?
In this paper, we address the issue of evaluating decision trees generated from training examples by a learning algorithm. We give a set of performance measures and show how some ...
Usama M. Fayyad, Keki B. Irani
BIBM
2009
IEEE
164views Bioinformatics» more  BIBM 2009»
14 years 25 days ago
Differential Predictive Modeling for Racial Disparities in Breast Cancer
The primary objective of disparities research is to model the differences across multiple groups and identify the groups that behave significantly different from each other. Indep...
Indranil Palit, Chandan K. Reddy, Kendra L. Schwar...
BICOB
2010
Springer
13 years 6 months ago
Iterative Split Adjustment for Building Multilabel Decision Trees
A decision tree induction method for multilabel classification tasks (IS-MLT) is presented which uses an iterative approach for determining the best split at each node. The propo...
Aiyesha Ma, Ishwar K. Sethi
ECML
2007
Springer
13 years 11 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...
PAKDD
2007
ACM
140views Data Mining» more  PAKDD 2007»
14 years 1 months ago
A Hybrid Multi-group Privacy-Preserving Approach for Building Decision Trees
In this paper, we study the privacy-preserving decision tree building problem on vertically partitioned data. We made two contributions. First, we propose a novel hybrid approach, ...
Zhouxuan Teng, Wenliang Du