Ratio Selection for Classification Models.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/datamine/GalvaoBA04
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dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/journals/datamine/GalvaoBA04
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dc:
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https://dblp.l3s.de/d2r/resource/authors/Magda_Abou-Seada
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dc:
creator
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https://dblp.l3s.de/d2r/resource/authors/Roberto_Kawakami_Harrop_Galv%E2%88%9A%C2%A3o
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dc:
creator
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https://dblp.l3s.de/d2r/resource/authors/Victor_M._Becerra
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http://dx.doi.org/doi.org%2F10.1023%2FB%3ADAMI.0000015913.38787.b3
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dc:
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DBLP journals/datamine/GalvaoBA04
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dc:
identifier
DOI doi.org%2F10.1023%2FB%3ADAMI.0000015913.38787.b3
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dcterms:
issued
2004
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swrc:
journal
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rdfs:
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Ratio Selection for Classification Models.
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foaf:
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https://dblp.l3s.de/d2r/resource/authors/Magda_Abou-Seada
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https://dblp.l3s.de/d2r/resource/authors/Roberto_Kawakami_Harrop_Galv%E2%88%9A%C2%A3o
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maker
<
https://dblp.l3s.de/d2r/resource/authors/Victor_M._Becerra
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swrc:
number
2
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swrc:
pages
151-170
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https://doi.org/10.1023/B:DAMI.0000015913.38787.b3
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dc:
subject
ratio selection; multivariate analysis; discriminant analysis; genetic algorithm; distress prediction; finance
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dc:
title
Ratio Selection for Classification Models.
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