Future trends in business analytics and optimization.

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  • Additional Information
    • Author-Supplied Keywords:
      Business Analytics and Optimization
      Data Mining
      Future trends
      Methodological Research
      Real-life Applications
    • NAICS/Industry Codes:
      541614 Process, Physical Distribution, and Logistics Consulting Services
    • 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). [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Intelligent Data Analysis is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1Department of Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA
      2National Research Council of Canada, Ottawa, Canada
      3Fraunhofer IAIS, Germany
      4School of Mathematical Sciences, Monash University, Wellington Road, Clayton, Victoria, Australia
      5School of Management, University of Southampton, Southampton, UK
      6Department of Industrial Engineering, Universidad de Chile, República, Santiago, Chile
      7Yahoo! Research, Barcelona, Spain
      8Groupon Inc., Palo Alto, CA, USA
      9Faculty of Engineering and Applied Sciences, Universidad de los Andes, Las Condes, Santiago, Chile
    • ISSN:
      1088-467X
    • Accession Number:
      10.3233/IDA-2011-0506
    • Accession Number:
      67328202
  • Citations
    • ABNT:
      BROWN, D. E. et al. Future trends in business analytics and optimization. Intelligent Data Analysis, [s. l.], v. 15, n. 6, p. 1001–1017, 2011. Disponível em: . Acesso em: 26 ago. 2019.
    • AMA:
      Brown DE, Famili F, Paass G, et al. Future trends in business analytics and optimization. Intelligent Data Analysis. 2011;15(6):1001-1017. doi:10.3233/IDA-2011-0506.
    • APA:
      Brown, D. E., Famili, F., Paass, G., Smith-Miles, K., Thomas, L. C., Weber, R., … Maldonado, S. (2011). Future trends in business analytics and optimization. Intelligent Data Analysis, 15(6), 1001–1017. https://doi.org/10.3233/IDA-2011-0506
    • Chicago/Turabian: Author-Date:
      Brown, Donald E., Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L’Huillier, and Sebastián Maldonado. 2011. “Future Trends in Business Analytics and Optimization.” Intelligent Data Analysis 15 (6): 1001–17. doi:10.3233/IDA-2011-0506.
    • Harvard:
      Brown, D. E. et al. (2011) ‘Future trends in business analytics and optimization’, Intelligent Data Analysis, 15(6), pp. 1001–1017. doi: 10.3233/IDA-2011-0506.
    • Harvard: Australian:
      Brown, DE, Famili, F, Paass, G, Smith-Miles, K, Thomas, LC, Weber, R, Baeza-Yates, R, Bravo, C, L’Huillier, G & Maldonado, S 2011, ‘Future trends in business analytics and optimization’, Intelligent Data Analysis, vol. 15, no. 6, pp. 1001–1017, viewed 26 August 2019, .
    • MLA:
      Brown, Donald E., et al. “Future Trends in Business Analytics and Optimization.” Intelligent Data Analysis, vol. 15, no. 6, Dec. 2011, pp. 1001–1017. EBSCOhost, doi:10.3233/IDA-2011-0506.
    • Chicago/Turabian: Humanities:
      Brown, Donald E., Fazel Famili, Gerhard Paass, Kate Smith-Miles, Lyn C. Thomas, Richard Weber, Ricardo Baeza-Yates, Cristián Bravo, Gaston L’Huillier, and Sebastián Maldonado. “Future Trends in Business Analytics and Optimization.” Intelligent Data Analysis 15, no. 6 (December 2011): 1001–17. doi:10.3233/IDA-2011-0506.
    • Vancouver/ICMJE:
      Brown DE, Famili F, Paass G, Smith-Miles K, Thomas LC, Weber R, et al. Future trends in business analytics and optimization. Intelligent Data Analysis [Internet]. 2011 Dec [cited 2019 Aug 26];15(6):1001–17. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=67328202&custid=s8280428