M. Mehta, J. Rissanen, and R. Agrawal. Proceedings of the International Conference on
Knowledge Discovery and Data Mining (KDD'95), page 216--221. (August 1995)
Abstract
This paper explores the application of the Minimum
Description Length principle for pruning decision
trees. We present a new algorithm that intuitively
captures the primary goal of reducing the
misclassification error. An experimental comparison is
presented with three other pruning algorithms. The
results show that the MDL pruning algorithm achieves
good accuracy, small trees, and fast execution times.
%0 Conference Paper
%1 MehtaEtAl:95
%A Mehta, M.
%A Rissanen, J.
%A Agrawal, R.
%B Proceedings of the International Conference on
Knowledge Discovery and Data Mining (KDD'95)
%D 1995
%K Classification, Data Decision-Trees, MDL Mining,
%P 216--221
%T MDL-Based Decision Tree Pruning
%U http://www.almaden.ibm.com/cs/people/ragrawal/papers/kdd95_mdl.ps
%X This paper explores the application of the Minimum
Description Length principle for pruning decision
trees. We present a new algorithm that intuitively
captures the primary goal of reducing the
misclassification error. An experimental comparison is
presented with three other pruning algorithms. The
results show that the MDL pruning algorithm achieves
good accuracy, small trees, and fast execution times.
@inproceedings{MehtaEtAl:95,
abstract = {This paper explores the application of the Minimum
Description Length principle for pruning decision
trees. We present a new algorithm that intuitively
captures the primary goal of reducing the
misclassification error. An experimental comparison is
presented with three other pruning algorithms. The
results show that the MDL pruning algorithm achieves
good accuracy, small trees, and fast execution times.},
abstract-url = {http://www.almaden.ibm.com/cs/people/ragrawal/abstracts.html#mra95},
added-at = {2008-10-07T16:03:39.000+0200},
author = {Mehta, M. and Rissanen, J. and Agrawal, R.},
biburl = {https://www.bibsonomy.org/bibtex/2f5113bc01244462dc20de10b518bc2b9/brefeld},
booktitle = {Proceedings of the International Conference on
Knowledge Discovery and Data Mining (KDD'95)},
interhash = {81617131f2bc10aa1cb57cce0f291f06},
intrahash = {f5113bc01244462dc20de10b518bc2b9},
keywords = {Classification, Data Decision-Trees, MDL Mining,},
month = {August},
pages = {216--221},
timestamp = {2008-10-07T16:03:44.000+0200},
title = {{MDL}-Based Decision Tree Pruning},
url = {http://www.almaden.ibm.com/cs/people/ragrawal/papers/kdd95_mdl.ps},
year = 1995
}