2090 search results - page 3 / 418 » Learning with attribute costs |
KDD
2008
ACM
14 years 6 months ago
2008
ACM
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
ECML
2005
Springer
13 years 11 months ago
2005
Springer
We study cost-sensitive learning of decision trees that incorporate both test costs and misclassification costs. In particular, we first propose a lazy decision tree learning that ...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
AI
2009
Springer
14 years 12 days ago
2009
Springer
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
GECCO
2006
Springer
13 years 9 months ago
2006
Springer
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...