63 search results - page 7 / 13 » MDL-Based Decision Tree Pruning |
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Traditional decision tree classifiers work with data whose values are known and precise. We extend such classifiers to handle data with uncertain information, which originates from...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
We propose a new decision tree algorithm, Class Confidence Proportion Decision Tree (CCPDT), which is robust and insensitive to class distribution and generates rules which are st...
ICAISC
2010
Springer
13 years 7 months ago
2010
Springer
Attempts to extract logical rules from data often lead to large sets of classification rules that need to be pruned. Training two classifiers, the C4.5 decision tree and the Non-Ne...
SGAI
2009
Springer
14 years 1 months ago
2009
Springer
In a world where data is captured on a large scale the major challenge for data mining algorithms is to be able to scale up to large datasets. There are two main approaches to indu...
FLAIRS
2004
13 years 8 months ago
2004
Most decision tree induction methods used for extracting knowledge in classification problems are unable to deal with uncertainties embedded within the data, associated with human...