143 search results - page 4 / 29 » Lazy Learning for Improving Ranking of Decision Trees |
ADMA
2005
Springer
14 years 1 months ago
2005
Springer
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
DATAMINE
2010
13 years 7 months ago
2010
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
PRICAI
2000
Springer
13 years 11 months ago
2000
Springer
While the decision tree is an effective representation that has been used in many domains, a tree can often encode a concept inefficiently. This happens when the tree has to repres...
CEC
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
ECML
2007
Springer
14 years 1 months ago
2007
Springer
Decision tree learning algorithms produce accurate models that can be interpreted by domain experts. However, these algorithms are known to be unstable – they can produce drastic...