Detection of breast cancer using an asymmetric entropy measure

Marcellin, Simon; Zighed, Djamel A.; Ritschard, Gilbert

Proceedings chapter

English

Detection of breast cancer using an asymmetric entropy measure

ContributorsMarcellin, Simon; Zighed, Djamel A.; Ritschard, Gilbert

Presented atBerlin, 2006

Published inRizzi, Alfredo and Vichi, Maurizio (Ed.), COMPSTAT 2006 - Proceedings in Computational Statistics, p. 975-982

Publication date2006

Abstract

In this paper we present a new entropy measure to grow decision trees. This measure has the characteristic to be asymmetric, allowing the user to grow trees which better correspond to his expectation in terms of recall and precision on each class. Then we propose decision rules adapted to such trees. Experiments have been realized on real medical data from breast cancer screening units.

Keywords

Entropy measures
Decision trees
Classification
Asymmetric error

Note(on CD)

Affiliation entities

Faculté des sciences de la société / Institut de démographie et de socioéconomie

Citation (ISO format)

MARCELLIN, Simon, ZIGHED, Djamel A., RITSCHARD, Gilbert. Detection of breast cancer using an asymmetric entropy measure. In: COMPSTAT 2006 - Proceedings in Computational Statistics. Rizzi, Alfredo and Vichi, Maurizio (Ed.). Berlin. [s.l.] : [s.n.], 2006. p. 975–982.

Proceedings chapter

Identifiers

PID : unige:4530

Additional URL for this publicationhttp://www.springer.com/east/home/statistics/computational?SGWID=5-40109-22-173666728-0

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Detection of breast cancer using an asymmetric entropy measure

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