Search (14 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Data Mining"
  1. Chardonnens, A.; Hengchen, S.: Text mining for cultural heritage institutions : a 5-step method for cultural heritage institutions (2017) 0.01
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    Content
    Vgl.: http://www.vwh-verlag.de/vwh/wp-content/uploads/2017/03/titelei_isi17.pdf.
    Source
    Everything changes, everything stays the same? - Understanding information spaces : Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin/Germany, 13th - 15th March 2017. Eds.: M. Gäde, V. Trkulja u. V. Petras
    Year
    2017
  2. Drees, B.: Text und data mining : Herausforderungen und Möglichkeiten für Bibliotheken (2016) 0.01
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    Content
    Vgl.: http://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/33691/pdf.
    Source
    Perspektive Bibliothek. 5(2016) H.1, S.49-73
  3. Kipcic, O.; Cramer, C.: Wie Zeitungsinhalte Forschung und Entwicklung befördern (2017) 0.01
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    Content
    Dieser Beitrag beruht auf einem Vortrag der Autorinnen auf der vfm-Frühjahrstagung 2017. Er wird demnächst in info7 2017/3 veröffentlicht.
    Source
    Open Password. 2017, Nr.237 vom 20.07.2017 [http://www.password-online.de/?wysija-page=1&controller=email&action=view&email_id=294&wysijap=subscriptions&user_id=623]
    Year
    2017
  4. Nohr, H.: Big Data im Lichte der EU-Datenschutz-Grundverordnung (2017) 0.00
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    Content
    Vgl.: JurPC Web-Dok. 111/2017 - DOI 10.7328/jurpcb2017328111.
    Year
    2017
  5. Loonus, Y.: Einsatzbereiche der KI und ihre Relevanz für Information Professionals (2017) 0.00
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    Abstract
    Es liegt in der Natur des Menschen, Erfahrungen und Ideen in Wort und Schrift mit anderen teilen zu wollen. So produzieren wir jeden Tag gigantische Mengen an Texten, die in digitaler Form geteilt und abgelegt werden. The Radicati Group schätzt, dass 2017 täglich 269 Milliarden E-Mails versendet und empfangen werden. Hinzu kommen größtenteils unstrukturierte Daten wie Soziale Medien, Presse, Websites und firmeninterne Systeme, beispielsweise in Form von CRM-Software oder PDF-Dokumenten. Der weltweite Bestand an unstrukturierten Daten wächst so rasant, dass es kaum möglich ist, seinen Umfang zu quantifizieren. Der Versuch, eine belastbare Zahl zu recherchieren, führt unweigerlich zu diversen Artikeln, die den Anteil unstrukturierter Texte am gesamten Datenbestand auf 80% schätzen. Auch wenn nicht mehr einwandfrei nachvollziehbar ist, woher diese Zahl stammt, kann bei kritischer Reflexion unseres Tagesablaufs kaum bezweifelt werden, dass diese Daten von großer wirtschaftlicher Relevanz sind.
    Source
    Open Password. 2017, Nr.265 vom 11.10.2017. [http://www.password-online.de/?wysija-page=1&controller=email&action=view&email_id=340&wysijap=subscriptions&user_id=1045]
    Year
    2017
  6. Liu, B.: Web data mining : exploring hyperlinks, contents, and usage data (2011) 0.00
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    Footnote
    Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtE.3uq2.bW89MQ%5f%5fCXPUFOH0.
  7. Mining text data (2012) 0.00
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    Footnote
    Elektronische Ausgabe unter: http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1gd0L5.C3WE8i..N.WdtI.3uq2.bW89MQ%5f%5fCXccFOL0.
  8. Varathan, K.D.; Giachanou, A.; Crestani, F.: Comparative opinion mining : a review (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.4, S.811-829
    Year
    2017
  9. Ayadi, H.; Torjmen-Khemakhem, M.; Daoud, M.; Huang, J.X.; Jemaa, M.B.: Mining correlations between medically dependent features and image retrieval models for query classification (2017) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1323-1334
    Year
    2017
  10. 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) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.7, S.1671-1686
    Year
    2017
  11. Hallonsten, O.; Holmberg, D.: Analyzing structural stratification in the Swedish higher education system : data contextualization with policy-history analysis (2013) 0.00
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    Date
    22. 3.2013 19:43:01
  12. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  13. Fonseca, F.; Marcinkowski, M.; Davis, C.: Cyber-human systems of thought and understanding (2019) 0.00
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    Date
    7. 3.2019 16:32:22
  14. Jäger, L.: Von Big Data zu Big Brother (2018) 0.00
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    Date
    22. 1.2018 11:33:49