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19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007)
Establishing Logical Rules from Empirical Data
Paris, France
October 29-October 31
ISBN: 0-7695-3015-X
ASCII Text
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John L. Pfaltz, "Establishing Logical Rules from Empirical Data," Tools with Artificial Intelligence, IEEE International Conference on, vol. 2, pp. 202-209, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICTAI.2007.53,
author = {John L. Pfaltz},
title = {Establishing Logical Rules from Empirical Data},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {2},
year = {2007},
issn = {1082-3409},
pages = {202-209},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2007.53},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - Establishing Logical Rules from Empirical Data
SN - 1082-3409
SP202
EP209
A1 - John L. Pfaltz,
PY - 2007
VL - 2
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
We review a method of generating logical rules, or axioms, from empirical data. This method, us- ing closed set properties of formal concept analysis, has been previously described and tested on rather large sets of deterministic data. The contribution of this paper is a completely new extension of this method to create implications involving numeric inequalities.
Citation:
John L. Pfaltz, "Establishing Logical Rules from Empirical Data," ictai, vol. 2, pp.202-209, 19th IEEE International Conference on Tools with Artificial Intelligence - Vol.2 (ICTAI 2007), 2007
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