TY - JOUR
T1 - Future trends in business analytics and optimization
AU - Brown, Donald
AU - Famili, Fazel
AU - Paass, Gerhard
AU - Smith-Miles, Kate
AU - Thomas, Lyn
AU - Weber, Richard
AU - Baeze-Yates, Ricardo
AU - Bravo, Cristian
AU - Gaston, L'Huillier
AU - Sebastian, Maldonado
PY - 2011
Y1 - 2011
N2 - 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).
AB - 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).
UR - http://iospress.metapress.com/content/005753527788l4n5/fulltext.pdf
U2 - 10.3233/IDA-2011-0506
DO - 10.3233/IDA-2011-0506
M3 - Letter
SN - 1088-467X
VL - 15
SP - 1001
EP - 1017
JO - Intelligent Data Analysis
JF - Intelligent Data Analysis
IS - 6
ER -