Statistical Data Analysis in the Era of Big Data †
Abstract: Big data is on everyone's lips and often raises emotions. On the one hand, the notion is a basis for much technological optimism, mostly directed towards new business models, or simplifications and optimizations in professional and private life. On the other hand, it is a basis for dystopic perspectives, which are targeted, e.g., at profiling of the individual and their privacy space, overarching optimization in daily life and intransparency of decision making. In this article, after a short historical prolog, it is discussed what distinguishes big data from traditional data analysis. The underlying mathematical methods are introduced and scientific successes are reported. Additionally, the risks and limits – especially regarding the derivation of causal relationships – of data analysis are discussed.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Statistical Data Analysis in the Era of Big Data † ; volume:92 ; number:7 ; year:2020 ; pages:831-841 ; extent:11
Chemie - Ingenieur - Technik ; 92, Heft 7 (2020), 831-841 (gesamt 11)
- Urheber
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Lengauer, Thomas
- DOI
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10.1002/cite.202000024
- URN
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urn:nbn:de:101:1-2022070509171815992602
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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2025-08-15T07:36:54+0200
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Lengauer, Thomas
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