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» Decision Trees for Uncertain Data
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ICPR
2008
IEEE
14 years 2 months ago
Online adaptive clustering in a decision tree framework
We present an online adaptive clustering algorithm in a decision tree framework which has an adaptive tree and a code formation layer. The code formation layer stores the represen...
Jayanta Basak
JMLR
2010
170views more  JMLR 2010»
13 years 6 months ago
A Streaming Parallel Decision Tree Algorithm
A new algorithm for building decision tree classifiers is proposed. The algorithm is executed in a distributed environment and is especially designed for classifying large datase...
Yael Ben-Haim, Elad Tom-Tov
KDD
1995
ACM
140views Data Mining» more  KDD 1995»
13 years 12 months ago
Decision Tree Induction: How Effective is the Greedy Heuristic?
Mostexisting decision tree systemsuse a greedyapproachto inducetrees -- locally optimalsplits are inducedat every node of the tree. Althoughthe greedy approachis suboptimal,it is ...
Sreerama K. Murthy, Steven Salzberg
PODS
2009
ACM
229views Database» more  PODS 2009»
14 years 9 months ago
Computing all skyline probabilities for uncertain data
Skyline computation is widely used in multi-criteria decision making. As research in uncertain databases draws increasing attention, skyline queries with uncertain data have also ...
Mikhail J. Atallah, Yinian Qi
ECML
2007
Springer
14 years 10 days ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel