23 search results - page 1 / 5 » Properties of the k-norm pruning algorithm for decision tree... |
ICPR
2008
IEEE
13 years 12 months ago
2008
IEEE
ICML
1998
IEEE
14 years 6 months ago
1998
IEEE
In this work, we present a new bottom-up algorithmfor decision tree pruning that is very e cient requiring only a single pass through the given tree, and prove a strong performanc...
SGAI
2010
Springer
13 years 3 months ago
2010
Springer
The Prism family of algorithms induces modular classification rules which, in contrast to decision tree induction algorithms, do not necessarily fit together into a decision tree s...
KDD
1995
ACM
13 years 9 months ago
1995
ACM
Finding and removingoutliers is an important problem in data mining. Errors in large databases can be extremely common,so an important property of a data mining algorithm is robus...
ICDE
2009
IEEE
14 years 7 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...