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» Decision Trees for Uncertain Data
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ICPR
2008
IEEE
15 years 6 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»
14 years 10 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»
15 years 3 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»
16 years 5 days 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
15 years 3 months 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