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Fifth IEEE International Conference on Data Mining (ICDM'05)
Instability of Classifiers on Categorical Data
Houston, Texas
November 27-November 30
ISBN: 0-7695-2278-5
ASCII Text
x 
 
Arno Siebes, Muhammad Subianto, Ad Feelders, "Instability of Classifiers on Categorical Data," Data Mining, IEEE International Conference on, pp. 769-772, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005.
 
 
BibTex
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@article{ 10.1109/ICDM.2005.81,
author = {Arno Siebes and Muhammad Subianto and Ad Feelders},
title = {Instability of Classifiers on Categorical Data},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2005},
issn = {1550-4786},
pages = {769-772},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2005.81},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Instability of Classifiers on Categorical Data
SN - 1550-4786
SP769
EP772
A1 - Arno Siebes,
A1 - Muhammad Subianto,
A1 - Ad Feelders,
PY - 2005
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Arno Siebes, Universiteit Utrecht
Muhammad Subianto, Universiteit Utrecht
Ad Feelders, Universiteit Utrecht
In this paper we study the local behaviour of arbitrary classifiers using the instability of that classifier in a data point. Moreover, we introduce two algorithms. The first to find highly unstable points, the second to find islands of stability.
Citation:
Arno Siebes, Muhammad Subianto, Ad Feelders, "Instability of Classifiers on Categorical Data," icdm, pp.769-772, Fifth IEEE International Conference on Data Mining (ICDM'05), 2005
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