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Second IEEE International Conference on Data Mining (ICDM'02)
Learning from Order Examples
Maebashi City, Japan
December 09-December 12
ISBN: 0-7695-1754-4
ASCII Text
x 
 
Toshihiro Kamishima, Shotaro Akaho, "Learning from Order Examples," Data Mining, IEEE International Conference on, pp. 645, Second IEEE International Conference on Data Mining (ICDM'02), 2002.
 
 
BibTex
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@article{ 10.1109/ICDM.2002.1184019,
author = {Toshihiro Kamishima and Shotaro Akaho},
title = {Learning from Order Examples},
journal ={Data Mining, IEEE International Conference on},
volume = {0},
year = {2002},
isbn = {0-7695-1754-4},
pages = {645},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2002.1184019},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining, IEEE International Conference on
TI - Learning from Order Examples
SN - 0-7695-1754-4
SP
EP
A1 - Toshihiro Kamishima,
A1 - Shotaro Akaho,
PY - 2002
KW - null
VL - 0
JA - Data Mining, IEEE International Conference on
ER -
 
Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology (AIST)
Shotaro Akaho, National Institute of Advanced Industrial Science and Technology (AIST)
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is used for estimating the proper order of a given unordered item set. The rule is acquired from training examples that are ordered item sets. We present several solution methods for this task, and evaluate the performance and the characteristics of these methods based on the experimental results of tests using both artificial data and realistic data.
Citation:
Toshihiro Kamishima, Shotaro Akaho, "Learning from Order Examples," icdm, pp.645, Second IEEE International Conference on Data Mining (ICDM'02), 2002
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