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Decision tree learning

Known as: Gini impurity, Regression tree, CART 
Decision tree learning uses a decision tree as a predictive model which maps observations about an item (represented in the branches) to conclusions… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
In this paper we develop a range of practical cryptographic protocols for secure decision tree learning, a primary problem in… 
Review
2013
Review
2013
The past decade has seen a significant interest on the problem of inducing decision trees that take account of costs of… 
Highly Cited
2010
Highly Cited
2010
Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute B… 
Highly Cited
2009
Highly Cited
2009
The distribution and intensity of hypoxia (low dissolved oxygen) in estuaries is increasing worldwide due to cultural… 
Highly Cited
2008
Highly Cited
2008
Learning from unbalanced datasets presents a convoluted problem in which traditional learning algorithms may perform poorly. The… 
Highly Cited
2007
Highly Cited
2007
Classification plays an important role in medicine, especially for medical diagnosis. Health applications often require… 
Highly Cited
2006
Highly Cited
2006
Tree mortality is a critical but understudied process in coniferous forest development. Current successional models assume that… 
Highly Cited
1995
Highly Cited
1995
Finding and removing outliers is an important problem in data mining. Errors in large databases can be extremely common, so an…