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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© 2006 Springer-Verlag Berlin Heidelberg
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Pinheiro, W.A., Oliveira, J., de Souza, J.M., Xexéo, G., Perazolo, M. (2006). Using Autonomic Computing and Click Stream Analysis for Problem Identification in Continuous Production. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2006. Lecture Notes in Computer Science, vol 4101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863649_3
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DOI: https://doi.org/10.1007/11863649_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44494-7
Online ISBN: 978-3-540-44496-1
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