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Praznik: High performance information-based feature selection

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cris.lastimport.scopus2024-02-12T20:47:36Z
dc.abstract.enInformation filters are an important class of feature selection methods. They bring together strong theoretical background, execution speed and high selection quality. The paper provides a brief review of said methods and introduces praznik, an R package collecting their efficient implementations. Its functionality is discussed with illustrative example analyses on established benchmark datasets, which also demonstrate the package’s competitive accuracy and very high computational efficiency in comparison to other tools. Moreover, praznik exposes its low-level functionality, which aims to support research and development of novel information theory based methods.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorKursa, Miron
dc.date.accessioned2024-01-25T17:18:36Z
dc.date.available2024-01-25T17:18:36Z
dc.date.issued2021
dc.description.financeŚrodki finansowe, o których mowa w art. 365 pkt. 2 ustawy
dc.description.volume16
dc.identifier.doi10.1016/J.SOFTX.2021.100819
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/116867
dc.identifier.weblinkhttps://api.elsevier.com/content/article/PII:S2352711021001138?httpAccept=text/xml
dc.languageeng
dc.pbn.affiliationcomputer and information sciences
dc.relation.ispartofSoftwareX
dc.relation.pages100819:1-8
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.titlePraznik: High performance information-based feature selection
dc.typeJournalArticle
dspace.entity.typePublication