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Data Analysis in Industry

A Practical Guideline
  • H. Hellendoorn
Conference paper
Part of the International Centre for Mechanical Sciences book series (CISM, volume 382)

Abstract

We present a methodology for data, mining in large industrial data. sets. We show the most important steps in the process of extracting information out of the data: (1) Preprocessing the data, (2) Reducing the data, (3) Modeling the data, (4) Rule extraction, and (5) Drift analysis. We also show some examples of industrial applications where fuzzy logic based data analysis plays a role.

Keywords

Radial Basis Function Fuzzy System Fuzzy Rule Polynomial Regression Fuzzy Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 1997

Authors and Affiliations

  • H. Hellendoorn
    • 1
  1. 1.Siemens AGMunichGermany

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