DocumentCode :
1963974
Title :
An Approach Towards the Integration of Adaptive Business Intelligent and Constraint Programming
Author :
Rubio, Jose Miguel ; Crawford, Broderick
Author_Institution :
Pontificia Univ. Catolica de Valparaiso, Valparaiso
fYear :
2008
fDate :
23-25 May 2008
Firstpage :
364
Lastpage :
369
Abstract :
Adaptive Business Intelligence is the discipline that combines prediction, optimization and adaptability into a system answering two important questions: What would probably happen in the future? and What is the better decision now? To build such system, first of all we must understand methods and techniques that provide prediction, optimization and adaptability. Hundreds of authors have already investigated about business intelligence, data mining and prediction methods and optimization techniques. However, none of them has explained how to combine these concepts into a system that is able to predict, optimize and adapt. In this article we propose a working framework, which allows incorporate constraint programming as adaptive business intelligence, in the development of adaptive business intelligence software.
Keywords :
competitive intelligence; constraint handling; data mining; optimisation; adaptability; adaptive business intelligent; constraint programming; data mining; optimization; prediction methods; Application software; Bismuth; Companies; Constraint optimization; Data analysis; Data mining; Databases; Optimization methods; Programming profession; Proposals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing (ISIP), 2008 International Symposiums on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3151-9
Type :
conf
DOI :
10.1109/ISIP.2008.145
Filename :
4554115
Link To Document :
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