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» Ensembles of Multi-Objective Decision Trees
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ICTAI
2007
IEEE
15 years 3 months ago
An Adaptive Distributed Ensemble Approach to Mine Concept-Drifting Data Streams
An adaptive boosting ensemble algorithm for classifying homogeneous distributed data streams is presented. The method builds an ensemble of classifiers by using Genetic Programmi...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
SAC
2004
ACM
15 years 2 months ago
Interval and dynamic time warping-based decision trees
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
Juan José Rodríguez, Carlos J. Alons...
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
14 years 7 months ago
A Practical Differentially Private Random Decision Tree Classifier
In this paper, we study the problem of constructing private classifiers using decision trees, within the framework of differential privacy. We first construct privacy-preserving ID...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
PKDD
2005
Springer
95views Data Mining» more  PKDD 2005»
15 years 2 months ago
Ensembles of Balanced Nested Dichotomies for Multi-class Problems
Abstract. A system of nested dichotomies is a hierarchical decomposition of a multi-class problem with c classes into c − 1 two-class problems and can be represented as a tree st...
Lin Dong, Eibe Frank, Stefan Kramer
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
15 years 9 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin