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An adaptation of COBWEB for symbolic data case

Author

Listed:
  • Marcin Pelka

    (Wroclaw University of Economics, Poland)

Abstract

The paper proposes an extension for well-known COBWEB algorithm for different symbolic variable types. This extension allows to apply symbolic variables for category utility evaluation. Main body of the paper presents how to adapt category utility for different symbolic variable types. Example shows an illustrative example of the proposed method.

Suggested Citation

  • Marcin Pelka, 2015. "An adaptation of COBWEB for symbolic data case," Statistica, Department of Statistics, University of Bologna, vol. 75(3), pages 265-273.
  • Handle: RePEc:bot:rivsta:v:75:y:2015:i:3:p:265-273
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