Artificial Intelligence Methods in Data Analysis and Interpretation

  • Shamsul Chowdhury
  • Ove Wigertz
  • Bo Sundgren
Conference paper
Part of the NATO ASI Series book series (volume 61)


Knowledge-based interfaces to existing statistical software are one way of applying artificial intelligence methods in data analysis and interpretation. In this paper we discuss our experiences from the implementations of knowledge-based systems for time series analyses, in particular for eliminating seasonal variations in statistical studies of industry and trade, and for multivariate tabular analysis. We further discuss the problems of realizing knowledge-based systems in a production environment and present an integrated conceptual model for knowledge-based data analysis and interpretation.


Expert System Inference Engine Choice Process Artificial Intelligence Method Seasonal Adjustment 
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 1990

Authors and Affiliations

  • Shamsul Chowdhury
    • 1
  • Ove Wigertz
    • 1
  • Bo Sundgren
    • 2
  1. 1.Department of Medical Informatics, Department of Computer and Information ScienceLinköping UniversitySweden
  2. 2.Statistics Sweden and Stockholm School of EconomicsSweden

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