98 search results - page 9 / 20 » Branching on Attribute Values in Decision Tree Generation |
ICML
1999
IEEE
14 years 9 months ago
1999
IEEE
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
KDD
2000
ACM
14 years 16 hour ago
2000
ACM
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
DIS
2001
Springer
14 years 28 days ago
2001
Springer
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
DMIN
2006
13 years 9 months ago
2006
When we want to select a class attribute among several choices, we suggest to using a method that is based on the overall correctness of a generating rule set as well as the number...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
—The real world is composed of sets of objects that move and morph in both space and time. Useful concepts can be defined in terms of the complex interactions between the multi-...