Self-organizing map in process visualization

Authors:
Miki Sirola;Jaakko Talonen
Affiliations:
Aalto University, Department of Information and Computer Science, Finland;Aalto University, Department of Information and Computer Science, Finland
Venue:
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Year:
2011

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Self-Organizing Maps

Self-Organizing Maps
Visualization and Visual Modelling for Strategic Analysis and Problem-Solving

IV '05 Proceedings of the Ninth International Conference on Information Visualisation
Corrigendum: Corrigendum to "MM-DSS: Integrating Multimedia and Decision-making Knowledge in Decision Support Systems" [Expert Systems with Applications 32 (2) (2007) 441-457]

Expert Systems with Applications: An International Journal

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Abstract

Our research group is studying data-analysis based techniques in decision support and visualization. We have had co-operation with a Finnish nuclear power plant Olkiluoto within a long industrial research project. We have developed many decision support schemes and visualizations based on self-organizing map (SOM) method combined with other methodologies. In this paper, we discuss about SOM method in the process visualization of dynamic systems. With a case example produced with the Olkiluoto plant data we show the information value of this method. Some comparisons to other methodologies are made and the assessment of the information value and the definition of the assessment criteria are discussed. The measurement of the information value is a challenging task.