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Using Autonomic Computing and Click Stream Analysis for Problem Identification in Continuous Production

  • Wallace A. Pinheiro
  • Jonice Oliveira
  • Jano M. de Souza
  • Geraldo Xexéo
  • Marcelo Perazolo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4101)

Abstract

Problem identification is an area of research from Autonomic Computing. The problem identification can bring several benefits in a production line, especially in continuous production of the Information Technology Industry. This work presents an approach based on Symptom Ontologies to facilitate problem identification and solution prediction, and use of clickstream analysis for recommendation of material, when the solution is not appropriated.

Keywords

Problem Identification Continuous Production Autonomic Computing Computer Support Cooperative Work Information Technology Industry 
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 2006

Authors and Affiliations

  • Wallace A. Pinheiro
    • 1
    • 3
  • Jonice Oliveira
    • 1
  • Jano M. de Souza
    • 1
    • 2
  • Geraldo Xexéo
    • 1
    • 2
  • Marcelo Perazolo
    • 4
  1. 1.Computer Science DepartmentGraduate School of Engineering, Federal University of Rio de Janeiro (UFRJ)Rio de JaneiroBrazil
  2. 2.Computer Science Department, Institute of MathematicsFederal University of Rio de JaneiroBrazil
  3. 3.Military Institute of Engineering (IME)Computer Systems Engineering Section – SE/8Rio de JaneiroBrazil
  4. 4.IBM Corporation – RTPNCUSA

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