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).
future trends, business analytics and optimization, data mining, methodological research, real-life applications
1001-1017
Brown, D.E.
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Famili, F.
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Paass, G.
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Smith-Miles, K.
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Thomas, L.C.
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Weber, R.
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Baeza_Yates, R.
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Bravo, C.
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Huillier, G.
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Maldonado, S.
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Brown, D.E.
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Famili, F.
2622be77-97ed-4bf8-bf2a-d0b9e6b90956
Paass, G.
9874445a-d236-4542-9f23-ba5fc99090ac
Smith-Miles, K.
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Thomas, L.C.
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Weber, R.
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Baeza_Yates, R.
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Bravo, C.
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Huillier, G.
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Maldonado, S.
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Brown, D.E., Famili, F., Paass, G., Smith-Miles, K., Thomas, L.C., Weber, R., Baeza_Yates, R., Bravo, C., Huillier, G. and Maldonado, S.
(2011)
Future trends in business analytics and optimization.
Intelligent Data Analysis, 15 (6), .
(doi:10.3233/IDA-2011-0506).
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).
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e-pub ahead of print date: 18 November 2011
Keywords:
future trends, business analytics and optimization, data mining, methodological research, real-life applications
Organisations:
Centre of Excellence in Decision, Analytics & Risk Research
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Local EPrints ID: 375186
URI: http://eprints.soton.ac.uk/id/eprint/375186
ISSN: 1088-467x
PURE UUID: a4708cf6-1474-4ed6-9d97-b8d131e7bff6
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Date deposited: 16 Mar 2015 13:25
Last modified: 14 Mar 2024 19:21
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Contributors
Author:
D.E. Brown
Author:
F. Famili
Author:
G. Paass
Author:
K. Smith-Miles
Author:
L.C. Thomas
Author:
R. Weber
Author:
R. Baeza_Yates
Author:
C. Bravo
Author:
G. Huillier
Author:
S. Maldonado
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