Data Mining and Optimization for Decision Making

  • Typ: Seminar
  • Lehrstuhl: ETS Institute of Economic Theory and Statistics
  • Ort:

    Geb. 20.54, Raum 101 (Blockveranstaltung)

  • Zeit:

    Do., 01.11.2012, 13:00 Uhr

  • Beginn: Do., 01.11.2012, 13:00 Uhr
  • Dozent:


  • LVNr.: 2521030
  • Prüfung:

    Vortrag, schriftliche Ausarbeitung

  • Hinweis:

    Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made.

    Topics of this seminar are:
    • Data mining and its applications, classification, supply optimization models, decision support systems, and analytical methods for performance evaluation.
    Weitere Informationen:
    In this seminar have been found:
    • Accessible through the careful definition and introduction of each concept, followed by the extensive use of examples and numerous real-life case studies.
    • To utilize mathematical models and analysis models to make effective and good quality business decisions.
    • A practical guide to the mathematical models and analysis methodologies of business intelligence.

    1. Han J., Steinbach M. (2006): Data Mining: Concepts and Techniques, 2nd edition, Morgan Kaufmann.
    2. Shmueli G. et al. (2010): Data Mining for Business Intelligence, John Wiley & Sons Inc.
    3. Turban E. et al. (2005): Decision Support Systems and Intelligent Systems, Prentice Hall.
    4. Vercellis C. (2009): Business Intelligence: Data Mining and Optimization for Decision Making, John Wiley & Sons Inc.

    To register for this seminar by e-mail is required. Interested persons please contact the seminar leader (

    Anmeldung : 01.10.2012
    Anmeldungsschluss: 31.10.2012