Number of the records: 1  

A New Measure of Feature Selection Algorithms’ Stability

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    SYSNO ASEP0337780
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleA New Measure of Feature Selection Algorithms’ Stability
    TitleNová míra stability algoritmů výběru příznaků
    Author(s) Novovičová, Jana (UTIA-B)
    Somol, Petr (UTIA-B) RID
    Pudil, Pavel (UTIA-B) RID
    Source TitleICDMW '09: Proceedings of the 2009 IEEE International Conference on Data Mining Workshops, OEDM '09: Workshop on Optimization Based Methods for Emerging Data Mining Problems. - Washington, DC, USA : IEEE Computer Society, 2009 - ISBN 978-0-7695-3902-7
    Pagess. 382-387
    Number of pages6 s.
    Publication form- - -
    ActionICDMW '09: International Conference on Data Mining Workshops
    Event date06.12.2009-09.12.2009
    VEvent locationMiami, Florida
    CountryUS - United States
    Event typeWRD
    Languageeng - English
    CountryUS - United States
    Keywordsfeature selection ; stability ; measure
    Subject RIVBD - Theory of Information
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA102/07/1594 GA ČR - Czech Science Foundation (CSF)
    GA102/08/0593 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationStability or robustness of feature selection methods is a topic of recent interest. A new stability measure based on the Shannon entropy is proposed in this paper to evaluate the overall occurrence of individual features in selected subsets of possibly varying cardinality. We compare the new measure to stability measures proposed recently by Somol et al. The new measure is computationally very efficient and adds another type of insight into the stability problem. All considered measures have been used to compare the stability of several feature selection methods (individually best ranking, sequential forward selection, sequential forward floating selection and dynamic oscillating search) on a set of examples.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2010
Number of the records: 1  

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