Skip to main content

Expert System for Data Analysis

  • Chapter
Data Analysis in Astronomy II

Part of the book series: Ettore Majorana International Science Series ((POLS,volume 21))

Abstract

At every final step of feature evaluation in any physical domain, the user is faced with a problem of data manipulation and data interpretation. How can a coherent and significant interpretation of the volume of data be obtained. Moreover this volume of data is rapidly increasing because of the progress of technology for feature evaluation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hooke, R. Getting people to use statistics properly. The American statistician 3, 4 1, 1980.

    Google Scholar 

  2. Benzecri, J.P. Pratique de l’Analyse de Données. Vol 1-2-3 Dunod 1980–1981.

    Google Scholar 

  3. Farreny, H. Les Systèmes Experts - Principes et Exemples - Techniques Avancées de l’Informatique. Cepadues Editions Toulouse - 1985.

    Google Scholar 

  4. Granger, C. Reconnaissance d’objets par mise en correspondance en vision par ordinateur. Ph. Diss, in Informatics - Nice University 1985.

    Google Scholar 

  5. 5- Aikins, J.S. Prototypes and Production rules: a knowledge representation for computer consultations. Ph. Diss. Computer Science Department. Stanford University 1980.

    Google Scholar 

  6. 6- Cayrol, M., Farreny, H., Prade, H., Fuzzing Pattern Matching - Kybernetes 11 pp 103–116, 1982.

    Google Scholar 

  7. Duda, R.O., Hart, P.E., Nilsson, N.J. Subjective Bayesian methods for rule-based inference systems. Proc. of the AFIPS 1976 - National Computer Conference. Vol 45 - PP 1075–1082.

    Google Scholar 

  8. Clancey, W.J., Shortliffe, E.H. Reading in Medical Artificial Intelligence: The first decade Addison Wesley Eds. I984.

    Google Scholar 

  9. Hayes-Roth, F., Waterman, D.A., Lenat, D.B. Building Expert Systems - Reading Mass: Addison Wesley 1983.

    Google Scholar 

  10. Ha-Kong, L. Expert Systems Techniques for statistical Data Analysis. Progress Report, April, Polytechnic of South Bank, London - Also in Computers and computing. Etudes et Recherches en Mathématiques, pp 149–162, Wiley-Masson 1986.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1986 Plenus Press, New York

About this chapter

Cite this chapter

Chassery, J.M. (1986). Expert System for Data Analysis. In: Di Gesù, V., Scarsi, L., Crane, P., Friedman, J.H., Levialdi, S. (eds) Data Analysis in Astronomy II. Ettore Majorana International Science Series, vol 21. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2249-8_26

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-2249-8_26

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9317-0

  • Online ISBN: 978-1-4613-2249-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics