Machine Learning Techniques for Understanding Context and Process

  • Marko GrobelnikEmail author
  • Dunja Mladenić
  • Gregor Leban
  • Tadej Štajner


This chapter discusses how machine learning techniques can be useful for modelling and understanding context and processes. Machine learning techniques that have been applied for understanding context and processes are briefly presented together with the setting in which they have been applied. An example application focusing on context understanding is described to illustrate results of applying the techniques on real-world data. Interpretation and understanding of context in the ACTIVE knowledge workspace is described in  Chap. 5 and deployed at BT as described in  Chap. 9, while optimizing and sharing of knowledge processes is addressed in  Chap. 6.


Machine Learning Technique Context Model Knowledge Worker Context Definition Context Mining 
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 Berlin Heidelberg 2011

Authors and Affiliations

  • Marko Grobelnik
    • 1
    Email author
  • Dunja Mladenić
    • 1
  • Gregor Leban
    • 1
  • Tadej Štajner
    • 1
  1. 1.Artificial Intelligence LaboratoryJozef Stefan InstituteLjubljanaSlovenia

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