DocumentCode
2485338
Title
Establishing Logical Rules from Empirical Data
Author
Pfaltz, John L.
Author_Institution
Univ. of Virginia, Charlottesville
Volume
2
fYear
2007
fDate
29-31 Oct. 2007
Firstpage
202
Lastpage
209
Abstract
We review a method of generating logical rules, or axioms, from empirical data. This method, using 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.
Keywords
formal logic; knowledge based systems; deterministic data; empirical data; formal concept analysis; logical rules generation; rule based systems; Artificial intelligence; Bayesian methods; Computer science; Knowledge based systems; Lattices; Probabilistic logic; Relational databases; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location
Patras
ISSN
1082-3409
Print_ISBN
978-0-7695-3015-4
Type
conf
DOI
10.1109/ICTAI.2007.53
Filename
4410381
Link To Document