Future trends in business analytics and optimization

Donald Brown, Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn Thomas, Richard Weber, Ricardo Baeze-Yates, Cristian Bravo, L'Huillier Gaston, Maldonado Sebastian

Research output: Contribution to journalLetterOther

9 Citations (Scopus)

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).
Original languageEnglish
Pages (from-to)1001 - 1017
Number of pages17
JournalIntelligent Data Analysis
Volume15
Issue number6
DOIs
Publication statusPublished - 2011

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