Applications of machine learning

  • Katharina Morik
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 599)


During the last 10 years, machine learning has been successfully applied. Most often, the applications are confidential. Therefore, only few publications about real world applications exist. In this paper, an overview of machine learning applications is given with their scenarios. Some typical applications are described. Then, future directions of machine learning applications are proposed. It is argued that machine learning is now mature enough to be incorporated into standard systems as well as algorithms. The integration of learning modules into database and retrieval systems is one of the trends. Another trend is to automatically select an appropriate learning tool out of a toolbox. The third trend, which is even more challenging, no longer requires a distinguished learning module, but offers methods of machine learning to be applied by programmers in their regular system development. Software engineers of the future can use inductive techniques as they now use message passing, for instance. Then, any program can be enhanced by some learning ability.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1992

Authors and Affiliations

  • Katharina Morik
    • 1
  1. 1.Dept. Computer Science, LS VIIIUniversity DortmundDortmund 50

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