Search (84 results, page 1 of 5)

  • × theme_ss:"Automatisches Klassifizieren"
  1. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.03
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    Date
    22. 8.2009 19:51:28
    Imprint
    Frankfurt, M. : Klostermann
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.03
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  3. Khoo, C.S.G.; Ng, K.; Ou, S.: ¬An exploratory study of human clustering of Web pages (2003) 0.02
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    Date
    6. 1.1997 18:30:28
    12. 9.2004 9:56:22
    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  4. Wu, M.; Fuller, M.; Wilkinson, R.: Using clustering and classification approaches in interactive retrieval (2001) 0.02
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  5. Duwairi, R.M.: Machine learning for Arabic text categorization (2006) 0.01
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    Abstract
    In this article we propose a distance-based classifier for categorizing Arabic text. Each category is represented as a vector of words in an m-dimensional space, and documents are classified on the basis of their closeness to feature vectors of categories. The classifier, in its learning phase, scans the set of training documents to extract features of categories that capture inherent category-specific properties; in its testing phase the classifier uses previously determined category-specific features to categorize unclassified documents. Stemming was used to reduce the dimensionality of feature vectors of documents. The accuracy of the classifier was tested by carrying out several categorization tasks on an in-house collected Arabic corpus. The results show that the proposed classifier is very accurate and robust.
    Date
    2. 7.2006 19:28:00
  6. Malenica, M.; Smuc, T.; Snajder, J.; Basic, B.D.: Language morphology offset : text classification on a Croatian-English parallel corpus (2008) 0.01
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    Date
    28. 7.2008 15:54:17
  7. Chung, Y.-M.; Noh, Y.-H.: Developing a specialized directory system by automatically classifying Web documents (2003) 0.01
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    Source
    Journal of information science. 29(2003) no.2, S.117-126
  8. Li, T.; Zhu, S.; Ogihara, M.: Hierarchical document classification using automatically generated hierarchy (2007) 0.01
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    Source
    Journal of intelligent information systems. 29(2007) no.2, S.211-230
  9. Sommer, M.: Automatische Generierung von DDC-Notationen für Hochschulveröffentlichungen (2012) 0.01
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    Date
    29. 1.2013 15:44:43
  10. Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015) 0.01
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    Date
    4. 8.2015 19:22:04
  11. Bock, H.-H.: Automatische Klassifikation : theoretische und praktische Methoden zur Gruppierung und Strukturierung von Daten (Cluster-Analyse) (1974) 0.01
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    Type
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  12. Classification, automation, and new media : Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15 - 17, 2000 (2002) 0.01
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    Date
    26. 9.2006 18:02:28
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  13. Savic, D.: Designing an expert system for classifying office documents (1994) 0.01
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    Source
    Records management quarterly. 28(1994) no.3, S.20-29
  14. Panyr, J.: Automatische Klassifikation und Information Retrieval : Anwendung und Entwicklung komplexer Verfahren in Information-Retrieval-Systemen und ihre Evaluierung (1986) 0.01
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  15. Krellenstein, M.: Document classification at Northern Light (1999) 0.01
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  16. Savic, D.: Automatic classification of office documents : review of available methods and techniques (1995) 0.01
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    Date
    23. 7.1996 10:28:09
    Source
    Records management quarterly. 29(1995) no.4, S.3-18
  17. Yi, K.: Automatic text classification using library classification schemes : trends, issues and challenges (2007) 0.01
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    28. 9.2003 11:42:17
    22. 9.2008 18:31:54
  18. Reiner, U.: DDC-based search in the data of the German National Bibliography (2008) 0.01
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    New pespectives on subject indexing and classification: essays in honour of Magda Heiner-Freiling. Red.: K. Knull-Schlomann, u.a
  19. Sojka, P.; Lee, M.; Rehurek, R.; Hatlapatka, R.; Kucbel, M.; Bouche, T.; Goutorbe, C.; Anghelache, R.; Wojciechowski, K.: Toolset for entity and semantic associations : Final Release (2013) 0.01
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    Date
    6. 1.1997 18:30:28
    Source
    Knowledge organization. 29(2002) nos.3/4, S.181-197

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