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