Future trends in business analytics and optimization

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DOIResolve DOI: http://doi.org/10.3233/IDA-2011-0506
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TypeArticle
Journal titleIntelligent Data Analysis
ISSN1088-467X
Volume15
Issue6
Pages10011017; # of pages: 17
SubjectBusiness analytics; Data mining algorithm; Decision process; Future trends; Knowledge discovery in database; Methodological research; Optimization method; Panel session; Real-life applications; Optimization; Data mining
AbstractDuring 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). © 2011 - IOS Press and the authors. All rights reserved.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada (NRC-CNRC)
Peer reviewedYes
NPARC number21271737
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Record identifiera1765bb1-a3d4-494d-866b-cf33c3487222
Record created2014-03-24
Record modified2016-05-09
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