Search (7 results, page 1 of 1)

  • × theme_ss:"Automatisches Klassifizieren"
  • × theme_ss:"Data Mining"
  1. Fong, A.C.M.: Mining a Web citation database for document clustering (2002) 0.00
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    Source
    Applied artificial intelligence. 16(2002) no.4, S.283-292
  2. Liu, X.; Yu, S.; Janssens, F.; Glänzel, W.; Moreau, Y.; Moor, B.de: Weighted hybrid clustering by combining text mining and bibliometrics on a large-scale journal database (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.6, S.1105-1119
  3. Teich, E.; Degaetano-Ortlieb, S.; Fankhauser, P.; Kermes, H.; Lapshinova-Koltunski, E.: ¬The linguistic construal of disciplinarity : a data-mining approach using register features (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1668-1678
  4. Brückner, T.; Dambeck, H.: Sortierautomaten : Grundlagen der Textklassifizierung (2003) 0.00
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    Source
    c't. 2003, H.19, S.192-197
  5. 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) 0.00
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    Pages
    XI, 535 S
    Type
    s
  6. Wu, K.J.; Chen, M.-C.; Sun, Y.: Automatic topics discovery from hyperlinked documents (2004) 0.00
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    Source
    Information processing and management. 40(2004) no.2, S.239-255
  7. Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.7, S.1399-1410