Search (35 results, page 1 of 2)

  • × theme_ss:"Data Mining"
  1. Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997) 0.04
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    Abstract
    Focuses on the information modelling side of conceptual modelling. Deals with the exploitation of fact verbalisations after finishing the actual information system. Verbalisations are used as input for the design of the so-called information model. Exploits these verbalisation in 4 directions: considers their use for a conceptual query language, the verbalisation of instances, the description of the contents of a database and for the verbalisation of queries in a computer supported query environment. Provides an example session with an envisioned tool for end user query formulations that exploits the verbalisation
    Source
    Information systems. 22(1997) nos.5/6, S.349-385
  2. Fonseca, F.; Marcinkowski, M.; Davis, C.: Cyber-human systems of thought and understanding (2019) 0.03
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    Date
    7. 3.2019 16:32:22
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.4, S.402-411
  3. Chowdhury, G.G.: Template mining for information extraction from digital documents (1999) 0.02
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    Date
    2. 4.2000 18:01:22
  4. Hölzig, C.: Google spürt Grippewellen auf : Die neue Anwendung ist bisher auf die USA beschränkt (2008) 0.02
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    Date
    3. 5.1997 8:44:22
    Source
    Kölner Stadt-Anzeiger. Nr.267 vom 14.11.2008, S.4
  5. KDD : techniques and applications (1998) 0.02
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    Footnote
    A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
  6. Fong, A.C.M.: Mining a Web citation database for document clustering (2002) 0.01
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    Source
    Applied artificial intelligence. 16(2002) no.4, S.283-292
  7. Matson, L.D.; Bonski, D.J.: Do digital libraries need librarians? (1997) 0.01
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    Date
    22.11.1998 18:57:22
  8. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.01
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    Date
    17. 7.2002 19:22:06
  9. Amir, A.; Feldman, R.; Kashi, R.: ¬A new and versatile method for association generation (1997) 0.01
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    Source
    Information systems. 22(1997) nos.5/6, S.333-347
  10. Advances in knowledge discovery and data mining (1996) 0.01
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    Footnote
    Rez. in: JASIS 49(1998) no.4, S.386-387 (F. Exner)
  11. Lackes, R.; Tillmanns, C.: Data Mining für die Unternehmenspraxis : Entscheidungshilfen und Fallstudien mit führenden Softwarelösungen (2006) 0.01
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    Date
    22. 3.2008 14:46:06
  12. Deogun, J.S.: Feature selection and effective classifiers (1998) 0.01
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    Abstract
    Develops and analyzes 4 algorithms for feature selection in the context of rough set methodology. Develops the notion of accuracy of classification that can be used for upper or lower classification methods and defines the feature selection problem. Presents a discussion of upper classifiers and develops 4 features selection heuristics and discusses the family of stepwise backward selection algorithms. Analyzes the worst case time complexity in all algorithms presented. Discusses details of the experiments and results of using a family of stepwise backward selection learning data sets and a duodenal ulcer data set. Includes the experimental setup and results of comparison of lower classifiers and upper classiers on the duodenal ulcer data set. Discusses exteded decision tables
  13. Hallonsten, O.; Holmberg, D.: Analyzing structural stratification in the Swedish higher education system : data contextualization with policy-history analysis (2013) 0.01
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    Date
    22. 3.2013 19:43:01
  14. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  15. Chen, Z.: Knowledge discovery and system-user partnership : on a production 'adversarial partnership' approach (1994) 0.01
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    Source
    AI and society. 8(1994) no.4, S.341-356
  16. Cardie, C.: Empirical methods in information extraction (1997) 0.01
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    Source
    AI magazine. 18(1997) no.4, S.65-79
  17. Sperlich, T.: ¬Die Zukunft hat schon begonnen : Visualisierungssoftware in der praktischen Anwendung (2000) 0.01
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    Content
    1. Unsichtbares sichtbar machen - 2. Mit 3D-Darsteltungen besser verkaufen - 3. Mixed Realities - 4. Informationstechnik hilft heilen - 5. Informationen finden - Komplexes verstehen - 6. Informationslandschaften - Karten - 7. Arbeiten und Wohnen in der Info-Zukunft - 8. Neues Lernen in der Info-Welt - 9. Computerspiele alsTechnologie-Avantgarde - 10. Multimediale Kunst
  18. Winterhalter, C.: Licence to mine : ein Überblick über Rahmenbedingungen von Text and Data Mining und den aktuellen Stand der Diskussion (2016) 0.01
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    Source
    027.7 Zeitschrift für Bibliothekskultur. 4(2016), H.2
  19. Wiegmann, S.: Hättest du die Titanic überlebt? : Eine kurze Einführung in das Data Mining mit freier Software (2023) 0.01
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    Source
    API Magazin. 4(2023), Nr.1 [https://journals.sub.uni-hamburg.de/hup3/apimagazin/article/view/130]
  20. Peters, G.; Gaese, V.: ¬Das DocCat-System in der Textdokumentation von G+J (2003) 0.01
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    Date
    22. 4.2003 11:45:36

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