Chapter 8. Data Mining for Business and Industry

  1. Shirley Coleman Technical Director2,
  2. Tony Greenfield3,
  3. Dave Stewardson2 and
  4. Douglas C. Montgomery4
  1. Paola Cerchiello,
  2. Silvia Figini and
  3. Paolo Giudici

Published Online: 3 MAR 2008

DOI: 10.1002/9780470997482.ch8

Statistical Practice in Business and Industry

Statistical Practice in Business and Industry

How to Cite

Cerchiello, P., Figini, S. and Giudici, P. (2008) Data Mining for Business and Industry, in Statistical Practice in Business and Industry (eds S. Coleman, T. Greenfield, D. Stewardson and D. C. Montgomery), John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470997482.ch8

Editor Information

  1. 2

    Industrial Statistics Research Unit, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

  2. 3

    Greenfield Research, Little Hucklow, Buxton SK17 8RT, UK

  3. 4

    Regents' Professor of Industrial Engineering & Statistics, ASU Foundation Professor of Engineering, Department of Industrial Engineering Arizona State University Tempe, AZ 85287-5906, USA

Author Information

  1. Department of Statistics and Applied Economics ‘Libero Lenti’, University of Pavia, Via Strada Nuova 65, 27100 Pavia, Italy

Publication History

  1. Published Online: 3 MAR 2008
  2. Published Print: 7 MAR 2008

ISBN Information

Print ISBN: 9780470014974

Online ISBN: 9780470997482



  • data mining - selection, exploration, and modelling;
  • data mining - data analysis process;
  • neural networks (multilayer perceptrons) and decision trees;
  • data mining applications;
  • web usage mining;
  • customer relationship management;
  • credit scoring and creditworthiness;
  • non-inferential and inferential models;
  • inferential models and web mining pattern discovery;
  • text mining and text mining technologies


This chapter contains sections titled:

  • What is data mining?

  • Data mining methods

  • Data mining applications

  • A case study in web usage mining

  • A case study in text mining

  • Results and conclusions

  • References