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Future trends in business analytics and optimization

Future trends in business analytics and optimization During the last decades, the disciplines of Data Mining and Operations Research have been working mostly independent of each other. However, the increasing complexity of today's applications in areas such as business, medicine, and science requires more and more interaction between both disciplines. On the one hand, several data mining algorithms are based on optimization methods. On the other hand, in several applications the pure Knowledge Discovery in Databases (KDD) process is not sufficient since it does not take explicitly into account the entire decision process. This report presents future trends in Business Analytics and Optimization discussed at the panel sessions during the workshop on Business Analytics and Optimization (BAO'2010). http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Intelligent Data Analysis IOS Press

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References (18)

Publisher
IOS Press
Copyright
Copyright © 2011 by IOS Press, Inc
ISSN
1088-467X
eISSN
1571-4128
DOI
10.3233/IDA-2011-0506
Publisher site
See Article on Publisher Site

Abstract

During the last decades, the disciplines of Data Mining and Operations Research have been working mostly independent of each other. However, the increasing complexity of today's applications in areas such as business, medicine, and science requires more and more interaction between both disciplines. On the one hand, several data mining algorithms are based on optimization methods. On the other hand, in several applications the pure Knowledge Discovery in Databases (KDD) process is not sufficient since it does not take explicitly into account the entire decision process. This report presents future trends in Business Analytics and Optimization discussed at the panel sessions during the workshop on Business Analytics and Optimization (BAO'2010).

Journal

Intelligent Data AnalysisIOS Press

Published: Jan 1, 2011

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