DocumentCode :
3847323
Title :
Feature Selection to Improve Information Verifier Models in EAI
Author :
Inaki Fernandez de Viana y Gonzalez;Jose Luis Arjona Fernandez;Jose Luis Alvarez Macias;Pedro Jose Abad Herrera
Author_Institution :
Dept. de Tecnol., Informacion de la Univ. de Huelva, Huelva, Spain
Volume :
8
Issue :
2
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
158
Lastpage :
163
Abstract :
Reduce maintenance costs of Enterprise Application Integration (EAI) solutions becomes a challenge when we are trying to integrate friendly web applications. This problem can be solved using automated systems that allow to navigate, extract, structure and verify relevant information. The extracted information is characterized using complex models that later are used to check whether the information is valid. In this paper we will demonstrate empirically that feature selection techniques simplify and improve the models obtained for verification of information.
Keywords :
"Data mining","Costs","Navigation","Ontologies"
Journal_Title :
IEEE Latin America Transactions
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2010.5514442
Filename :
5514442
Link To Document :
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