Search (38 results, page 1 of 2)

  • × theme_ss:"Data Mining"
  1. Budzik, J.; Hammond, K.J.; Birnbaum, L.: Information access in context (2001) 0.02
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    Date
    29. 3.2002 17:31:17
  2. Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997) 0.02
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    Date
    5. 4.1996 15:29:15
    Source
    Information systems. 22(1997) nos.5/6, S.333-347
  3. Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000) 0.02
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    Date
    27. 1.1996 10:29:55
  4. Keim, D.A.: Data Mining mit bloßem Auge (2002) 0.02
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    Date
    31.12.1996 19:29:41
  5. Kruse, R.; Borgelt, C.: Suche im Datendschungel (2002) 0.02
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    Date
    31.12.1996 19:29:41
  6. Wrobel, S.: Lern- und Entdeckungsverfahren (2002) 0.02
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    Date
    31.12.1996 19:29:41
  7. Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997) 0.02
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    Date
    5. 4.1996 15:29:15
    Source
    Information systems. 22(1997) nos.5/6, S.349-385
  8. Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002) 0.02
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    Date
    31.12.1996 19:29:41
  9. Cardie, C.: Empirical methods in information extraction (1997) 0.01
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    Date
    6. 3.1999 13:50:29
  10. Tiefschürfen in Datenbanken (2002) 0.01
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    Date
    31.12.1996 19:29:41
  11. Bath, P.A.: Data mining in health and medical information (2003) 0.01
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    Date
    23.10.2005 18:29:03
  12. Methodologies for knowledge discovery and data mining : Third Pacific-Asia Conference, PAKDD'99, Beijing, China, April 26-28, 1999, Proceedings (1999) 0.01
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    Abstract
    The 29 revised full papers presented together with 37 short papers were carefully selected from a total of 158 submissions. The book is divided into sections on emerging KDD technology; association rules; feature selection and generation; mining in semi-unstructured data; interestingness, surprisingness, and exceptions; rough sets, fuzzy logic, and neural networks; induction, classification, and clustering; visualization, causal models and graph-based methods; agent-based and distributed data mining; and advanced topics and new methodologies
  13. Wiegmann, S.: Hättest du die Titanic überlebt? : Eine kurze Einführung in das Data Mining mit freier Software (2023) 0.01
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    Date
    28. 1.2022 11:05:29
  14. Srinivasan, P.: Text mining in biomedicine : challenges and opportunities (2006) 0.01
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    Date
    29. 2.2008 17:14:09
  15. 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) 0.01
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    Date
    1. 6.2010 9:29:57
  16. Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014) 0.01
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    Date
    29. 1.2014 16:46:40
  17. Raan, A.F.J. van; Noyons, E.C.M.: Discovery of patterns of scientific and technological development and knowledge transfer (2002) 0.01
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    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  18. Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 0.01
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    Date
    25. 6.2013 19:05:29
  19. Tu, Y.-N.; Hsu, S.-L.: Constructing conceptual trajectory maps to trace the development of research fields (2016) 0.01
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    Date
    21. 7.2016 19:29:19
  20. Gill, A.J.; Hinrichs-Krapels, S.; Blanke, T.; Grant, J.; Hedges, M.; Tanner, S.: Insight workflow : systematically combining human and computational methods to explore textual data (2017) 0.01
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    Date
    16.11.2017 14:00:29

Years

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  • m 6
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