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  • × author_ss:"Beck, H."
  1. Beck, H.: ¬Der Sachkatalog und die Allgemeingruppen (1965) 0.00 
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  2. Beck, H.: Deep structure indexing system (DSIS) : eine Alternative zu PRECIS? (1989) 0.00 
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  3. Beck, H.: Klassifikation und Informationswiedergewinnung : zu aktuellen Problemen aus bibliothekarischer Sicht (1974) 0.00 
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  4. Beck, H.: Klassifikation und Informationswiedergewinnung : zu aktuellen Problemen aus bibliothekarischer Sicht (1975) 0.00 
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  5. Beck, H.: Klassifikation und Informationswiedergewinnung : zu aktuellen Problemen aus bibliothekarischer Sicht (1976) 0.00 
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  6. Beck, H.: Klassifikation und Informationswiedergewinnung : zu aktuellen Problemen aus bibliothekarischer Sicht (1977) 0.00 
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  7. Beck, H.: Klassifikation und Informationswiedergewinnung : zu aktuellen Problemen aus bibliothekarischer Sicht (1979) 0.00 
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  8. Beck, H.: Klassifikation und Informationswiedergewinnung : zu aktuellen Problemen aus bibliothekarischer Sicht (1979) 0.00 
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  9. Beck, H.: ¬Die Notation im systematischen Katalog (1970) 0.00 
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  10. Beck, H.: ¬Das Schlagwortregister zum systematischen Katalog (1966) 0.00 
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  11. Beck, H.: PRECIS: eine computerunterstützte verbale Sacherschließungsmethode auf linguistischer Grundlage (1986) 0.00 
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  12. Beck, H.: Von der SAB zur KAB : Gedanken zur Weiterentwicklung der Klassifikation für Staatliche Allgemeinbibliotheken und Gewerkschaftsbibliotheken (1982) 0.00 
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  13. Beck, H.: Universalklassifikation und kein Ende : Zu Ingetraut Dahlbergs Vorschlag für ein universales Klassifikationssystem des Wissens (1977) 0.00 
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  14. Beck, H.; Prinz, A.: ¬Das globale Internet-Dorf regieren : Elektronisch gehandelte Produkte sind ortsunabhängig und verursachen wenig Transaktionskosten. Herausforderungen für Arbeitsmarkt, Steuer- und Geldpolitik (1998) 0.00 
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  15. Beck, H.: Zur Klassifikation der Belletristik (1991) 0.00 
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  16. HaCohen-Kerner, Y.; Beck, H.; Yehudai, E.; Rosenstein, M.; Mughaz, D.: Cuisine : classification using stylistic feature sets and/or name-based feature sets (2010) 0.00 
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    Abstract
    Document classification presents challenges due to the large number of features, their dependencies, and the large number of training documents. In this research, we investigated the use of six stylistic feature sets (including 42 features) and/or six name-based feature sets (including 234 features) for various combinations of the following classification tasks: ethnic groups of the authors and/or periods of time when the documents were written and/or places where the documents were written. The investigated corpus contains Jewish Law articles written in Hebrew-Aramaic, which present interesting problems for classification. Our system CUISINE (Classification UsIng Stylistic feature sets and/or NamE-based feature sets) achieves accuracy results between 90.71 to 98.99% for the seven classification experiments (ethnicity, time, place, ethnicity&time, ethnicity&place, time&place, ethnicity&time&place). For the first six tasks, the stylistic feature sets in general and the quantitative feature set in particular are enough for excellent classification results. In contrast, the name-based feature sets are rather poor for these tasks. However, for the most complex task (ethnicity&time&place), a hill-climbing model using all feature sets succeeds in significantly improving the classification results. Most of the stylistic features (34 of 42) are language-independent and domain-independent. These features might be useful to the community at large, at least for rather simple tasks.
    Type
    a

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  • d 14
  • e 2

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