IDEAS home Printed from
   My bibliography  Save this article

Warenkorbanalysen mit Data Mining


  • Muller, Stephan


With increasing price-competition in retail business, marketing becomes the critical success factor. All activities have to be oriented towards customer needs. Within marketing research, the individual act of purchase plays a decisive role and necessitates a holistic analysis of the market basket. Moreover, progress in information technology has enabled us to store huge amounts of data, including a valuable pool of business experiences. It is not possible to make this potential knowledge completely available with conventional statistical approaches. This is where Data Mining provides an ideal approach. It is an analysis process for extracting information from large databases. The aim of the study, submitted as diploma thesis at the ETH Zurich, is to show a possible Data Mining Process for analyzing sales data in retail business. Thereby the analysis is focused on the efficiency of the process model and the identification of professional needs. According to Hippner, the Data Mining Process is applied systematically on the basis of a Market Basket Analysis. The Association Analysis, which detects relevant correlations between different products of an assortment, is the core of the process. Problems of interpreting identified association rules make a transformation into marketing recommendations very difficult. Nevertheless, the Data Mining Process turned out to be very efficient.

Suggested Citation

  • Muller, Stephan, 2005. "Warenkorbanalysen mit Data Mining," Agrarwirtschaft und Agrarsoziologie/ Economie et Sociologie Rurales, Swiss Society for Agricultural Economics and Rural Sociology, issue 1.
  • Handle: RePEc:ags:agrarw:32007

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    2. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    3. Shawna Grosskopf & Rolf Fare, 1995. "Environmental Decision Models With Joint Outputs," Others 9502002, EconWPA.
    4. Bernard, Andrew B & Jones, Charles I, 1996. "Productivity across Industries and Countries: Time Series Theory and Evidence," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 135-146, February.
    5. Pagan,Adrian & Ullah,Aman, 1999. "Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9780521355643, March.
    6. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 107(2), pages 407-437.
    7. Good, D. & Nadiri, M.I. & Sickles, R., 1996. "Index Number and Factor Demand Approaches to the Estimarion of Productivity," Working Papers 96-34, C.V. Starr Center for Applied Economics, New York University.
    8. A. Desdoigts, 1995. "Changes in the World Income Distribution: a Non-Parametric Approach to Challenge the Neo-Classical Convergence Argument," SFB 373 Discussion Papers 1995,15, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    9. Charles R. Hulten, 2000. "Total Factor Productivity: A Short Biography," NBER Working Papers 7471, National Bureau of Economic Research, Inc.
    10. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, March.
    11. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    12. KNEIP, Alois & SIMAR, Léopold, 1995. "A General Framework for Frontier Estimation with Panel Data," CORE Discussion Papers 1995060, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Kneip, A & Park, B-U & Simar, L, 1996. "A Note on the Convergence of Nonparametric DEA Efficiency Measures," Papers 9603, Catholique de Louvain - Institut de statistique.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:agrarw:32007. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.