Search (11 results, page 1 of 1)

Kipcic, O.; Cramer, C.: Wie Zeitungsinhalte Forschung und Entwicklung befördern (2017) 0.01

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Drees, B.: Text und data mining : Herausforderungen und Möglichkeiten für Bibliotheken (2016) 0.01
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Abstract

Text und Data Mining (TDM) gewinnt als wissenschaftliche Methode zunehmend an Bedeutung und stellt wissenschaftliche Bibliotheken damit vor neue Herausforderungen, bietet gleichzeitig aber auch neue Möglichkeiten. Der vorliegende Beitrag gibt einen Überblick über das Thema TDM aus bibliothekarischer Sicht. Hierzu wird der Begriff Text und Data Mining im Kontext verwandter Begriffe diskutiert sowie Ziele, Aufgaben und Methoden von TDM erläutert. Diese werden anhand beispielhafter TDM-Anwendungen in Wissenschaft und Forschung illustriert. Ferner werden technische und rechtliche Probleme und Hindernisse im TDM-Kontext dargelegt. Abschließend wird die Relevanz von TDM für Bibliotheken, sowohl in ihrer Rolle als Informationsvermittler und -anbieter als auch als Anwender von TDM-Methoden, aufgezeigt. Zudem wurde im Rahmen dieser Arbeit eine Befragung der Betreiber von Dokumentenservern an Bibliotheken in Deutschland zum aktuellen Umgang mit TDM durchgeführt, die zeigt, dass hier noch viel Ausbaupotential besteht. Die dem Artikel zugrunde liegenden Forschungsdaten sind unter dem DOI 10.11588/data/10090 publiziert.

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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Date: 1. 6.2010 9:29:57

Qiu, X.Y.; Srinivasan, P.; Hu, Y.: Supervised learning models to predict firm performance with annual reports : an empirical study (2014) 0.00

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Date: 29. 1.2014 16:46:40

Ma, Z.; Sun, A.; Cong, G.: On predicting the popularity of newly emerging hashtags in Twitter (2013) 0.00

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Date: 25. 6.2013 19:05:29

Tu, Y.-N.; Hsu, S.-L.: Constructing conceptual trajectory maps to trace the development of research fields (2016) 0.00

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Date: 21. 7.2016 19:29:19

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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Date: 16.11.2017 14:00:29

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

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

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

Jäger, L.: Von Big Data zu Big Brother (2018) 0.00

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Date: 22. 1.2018 11:33:49

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