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On the representation of observational data used for classification and identification of natural objects

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New Approaches in Classification and Data Analysis

Abstract

Starting from an analysis of the qualities of descriptions and of the observational mechanisms, this paper illustrates the interest of using a “naturally” structured representation of observational data. A particular attention is given to the formalization of descriptive concepts and their corresponding representation from a biological point of view. The main goal is to build classification (class definition) and identification systems that take into account diversity, inter-dependancy and variability of observed characters and to handle incomplete information.

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References

  • CONRUYT N., MANAGO M., & LE RENARD J. (1992) “Modélisation, Formalisation et Analyse d’Objets biologiques en vue de leur identification: application au domaine des éponges marines.”, Actes des 3èmes journées “Symboliques-numériques”, Université Paris-IX-Dauphine, 1992.

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  • MANAGO M., CONRUYT N.& LE RENARD J. (1992) “Acquiring Descriptive Knowledge for Classification and Identification”, in: Th. Wetter, K.-D. Althoff, J. Boose, B. Gaines, M. Linster & F. Schmalhofer (eds.), Current Developments in Knowledge Acquisition, Springer Verlag.

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© 1994 Springer-Verlag Berlin Heidelberg

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Le Renard, J., Conruyt, N. (1994). On the representation of observational data used for classification and identification of natural objects. In: Diday, E., Lechevallier, Y., Schader, M., Bertrand, P., Burtschy, B. (eds) New Approaches in Classification and Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-51175-2_36

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  • DOI: https://doi.org/10.1007/978-3-642-51175-2_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58425-4

  • Online ISBN: 978-3-642-51175-2

  • eBook Packages: Springer Book Archive

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