-
Keim, D.A.: Datenvisualisierung und Data Mining (2004)
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- Abstract
- Die rasante technologische Entwicklung der letzten zwei Jahrzehnte ermöglicht heute die persistente Speicherung riesiger Datenmengen durch den Computer. Forscher an der Universität Berkeley haben berechnet, dass jedes Jahr ca. 1 Exabyte (= 1 Million Terabyte) Daten generiert werden - ein großer Teil davon in digitaler Form. Das bedeutet aber, dass in den nächsten drei Jahren mehr Daten generiert werden als in der gesamten menschlichen Entwicklung zuvor. Die Daten werden oft automatisch mit Hilfe von Sensoren und Überwachungssystemen aufgezeichnet. So werden beispielsweise alltägliche Vorgänge des menschlichen Lebens, wie das Bezahlen mit Kreditkarte oder die Benutzung des Telefons, durch Computer aufgezeichnet. Dabei werden gewöhnlich alle verfügbaren Parameter abgespeichert, wodurch hochdimensionale Datensätze entstehen. Die Daten werden gesammelt, da sie wertvolle Informationen enthalten, die einen Wettbewerbsvorteil bieten können. Das Finden der wertvollen Informationen in den großen Datenmengen ist aber keine leichte Aufgabe. Heutige Datenbankmanagementsysteme können nur kleine Teilmengen dieser riesigen Datenmengen darstellen. Werden die Daten zum Beispiel in textueller Form ausgegeben, können höchstens ein paar hundert Zeilen auf dem Bildschirm dargestellt werden. Bei Millionen von Datensätzen ist dies aber nur ein Tropfen auf den heißen Stein.
- Source
- Grundlagen der praktischen Information und Dokumentation. 5., völlig neu gefaßte Ausgabe. 2 Bde. Hrsg. von R. Kuhlen, Th. Seeger u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried. Bd.1: Handbuch zur Einführung in die Informationswissenschaft und -praxis
-
Borgelt, C.; Kruse, R.: Unsicheres Wissen nutzen (2002)
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- Abstract
- Probabilistische Schlussfolgerungsnetze sind ein probates Mittel, unsicheres Wissen sauber und mathematisch fundiert zu verarbeiten. In neuerer Zeit wurden Verfahren entwickelt, um sie automatisch aus Beispieldaten zu erlernen
- Source
- Spektrum der Wissenschaft. 2002, H.11, S.82-84
-
Tiefschürfen in Datenbanken (2002)
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- Abstract
- Ein Einkauf im Supermarkt, ein Telefongespräch, ein Klick im Internet: Die Spuren solcher Allerweltsaktionen häufen sich zu Datengebirgen ungeheuren Ausmaßes. Darin noch das Wesentlich - was immer das sein mag - zu finden, ist die Aufgabe des noch jungen Wissenschaftszweiges Data Mining, der mit offiziellem Namen "Wissensentdeckung in Datenbanken" heißt
- Content
- Enthält die Beiträge: Kruse, R., C. Borgelt: Suche im Datendschungel - Borgelt, C. u. R. Kruse: Unsicheres Wissen nutzen - Wrobel, S.: Lern- und Entdeckungsverfahren - Keim, D.A.: Data Mining mit bloßem Auge
- Source
- Spektrum der Wissenschaft. 2002, H.11, S.80-91
-
Ohly, H.P.: Bibliometric mining : added value from document analysis and retrieval (2008)
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- Series
- Fortschritte in der Wissensorganisation; Bd.10
- Source
- Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
-
Huvila, I.: Mining qualitative data on human information behaviour from the Web (2010)
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- Source
- Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
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Kraker, P.; Kittel, C,; Enkhbayar, A.: Open Knowledge Maps : creating a visual interface to the world's scientific knowledge based on natural language processing (2016)
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- Content
- Beitrag in einem Themenschwerpunkt 'Computerlinguistik und Bibliotheken'. Vgl.: http://0277.ch/ojs/index.php/cdrs_0277/article/view/157/355.
-
Fonseca, F.; Marcinkowski, M.; Davis, C.: Cyber-human systems of thought and understanding (2019)
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- Date
- 7. 3.2019 16:32:22
- Field
- Philosophie
-
Hofstede, A.H.M. ter; Proper, H.A.; Van der Weide, T.P.: Exploiting fact verbalisation in conceptual information modelling (1997)
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- Source
- Information systems. 22(1997) nos.5/6, S.349-385
-
Chowdhury, G.G.: Template mining for information extraction from digital documents (1999)
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Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015)
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