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Big Data (German Wikipedia)

Analysis of information sources in references of the Wikipedia article "Big Data" in German language version.

refsWebsite
Global rank German rank
8doi.org
2nd place
3rd place
4web.archive.org
1st place
1st place
4deutschlandfunk.de
1,366th place
81st place
4zdb-katalog.de
123rd place
6th place
3faz.net
240th place
13th place
3heise.de
766th place
46th place
3sueddeutsche.de
226th place
12th place
3redirecter.toolforge.org
33rd place
2nd place
2crackedlabs.org
low place
low place
2dasmagazin.ch
low place
8,046th place
2dievolkswirtschaft.ch
low place
low place
1gartner.com
4,365th place
4,347th place
1zeit.de
267th place
15th place
1computerwoche.de
low place
1,039th place
1fraunhofer.de
7,696th place
870th place
1arstechnica.com
388th place
1,153rd place
1archive.today
14th place
31st place
1govtech.com
low place
low place
1hicss.org
low place
low place
1softselect.de
low place
low place
1theatlantic.com
228th place
655th place
1aerztezeitung.de
low place
711th place
1umweltbundesamt.de
8,161st place
558th place
1nih.gov
4th place
7th place
1pnas.org
1,293rd place
678th place
1spiegel.de
66th place
4th place
1netzpolitik.org
9,744th place
683rd place
1spektrum.de
1,960th place
130th place
1deutschlandfunkkultur.de
2,144th place
142nd place
1danah.org
low place
low place
1nzz.ch
687th place
41st place
1wired.com
193rd place
559th place
1deutschlandradiokultur.de
low place
784th place

aerztezeitung.de (Global: low place; German: 711th place)

archive.today (Global: 14th place; German: 31st place)

arstechnica.com (Global: 388th place; German: 1,153rd place)

computerwoche.de (Global: low place; German: 1,039th place)

crackedlabs.org (Global: low place; German: low place)

danah.org (Global: low place; German: low place)

dasmagazin.ch (Global: low place; German: 8,046th place)

deutschlandfunk.de (Global: 1,366th place; German: 81st place)

deutschlandfunkkultur.de (Global: 2,144th place; German: 142nd place)

deutschlandradiokultur.de (Global: low place; German: 784th place)

dievolkswirtschaft.ch (Global: low place; German: low place)

doi.org (Global: 2nd place; German: 3rd place)

  • Rainer Schmidt, Michael Möhring, Stefan Maier, Julia Pietsch, Ralf-Christian Härting: Big Data as Strategic Enabler – Insights from Central European Enterprises. In: Business Information Systems (= Lecture Notes in Business Information Processing. Band 176). Springer International Publishing, 2014, ISBN 978-3-319-06694-3, S. 50–60, doi:10.1007/978-3-319-06695-0_5.
  • Ricardo Buettner: A Framework for Recommender Systems in Online Social Network Recruiting: An Interdisciplinary Call to Arms. 47th Annual Hawaii International Conference on System Sciences. IEEE, Big Island, Hawaii 2014, S. 1415–1424, doi:10.13140/RG.2.1.2127.3048 (englisch).
  • Ricardo Buettner: Predicting user behavior in electronic markets based on personality-mining in large online social networks: A personality-based product recommender framework. In: Electronic Markets: The International Journal on Networked Business. Springer, 2016, S. 1–19, doi:10.1007/s12525-016-0228-z.
  • Philipp Gölzer: Data-driven operations management: organisational implications of the digital transformation in industrial practice. In: Production Planning & Control. Band 28, Nr. 12. Taylor & Francis, 2017, S. 1332–1343, doi:10.1080/09537287.2017.1375148.
  • Fabian Prietzel: Big Data is watching you: Persönlichkeitsanalyse und Microtargeting auf Social Media. In: Markus Appel (Hrsg.): Die Psychologie des Postfaktischen: Über Fake News, „Lügenpresse“, Clickbait & Co. Springer, Berlin, Heidelberg 2020, ISBN 978-3-662-58695-2, S. 81–89, doi:10.1007/978-3-662-58695-2_8.
  • Michal Kosinski, David Stillwell, Thore Graepel: Private traits and attributes are predictable from digital records of human behavior. In: Proceedings of the National Academy of Sciences. Band 110, Nr. 15, 9. April 2013, ISSN 0027-8424, S. 5802–5805, doi:10.1073/pnas.1218772110, PMID 23479631, PMC 3625324 (freier Volltext) – (pnas.org [abgerufen am 23. März 2020]).
  • Yilun Wang, Michal Kosinski: Deep neural networks are more accurate than humans at detecting sexual orientation from facial images. In: Journal of Personality and Social Psychology. Band 114, Nr. 2, Februar 2018, ISSN 1939-1315, S. 246–257, doi:10.1037/pspa0000098.
  • Andrew G Reece, Christopher M Danforth: Instagram photos reveal predictive markers of depression. In: EPJ Data Science. Band 6, Nr. 1, Dezember 2017, ISSN 2193-1127, S. 15, doi:10.1140/epjds/s13688-017-0110-z.

faz.net (Global: 240th place; German: 13th place)

fraunhofer.de (Global: 7,696th place; German: 870th place)

iais.fraunhofer.de

gartner.com (Global: 4,365th place; German: 4,347th place)

  • Gartner IT Glossary: „Big data is high-volume, high-velocity and high-variety in formation assets that demand cost- effective, innovative forms of information processing for enhanced insight and decision making“. Abgerufen am 15. Januar 2016 von: http://www.gartner.com/it-glossary/big-data

govtech.com (Global: low place; German: low place)

heise.de (Global: 766th place; German: 46th place)

hicss.org (Global: low place; German: low place)

netzpolitik.org (Global: 9,744th place; German: 683rd place)

nih.gov (Global: 4th place; German: 7th place)

ncbi.nlm.nih.gov

  • Michal Kosinski, David Stillwell, Thore Graepel: Private traits and attributes are predictable from digital records of human behavior. In: Proceedings of the National Academy of Sciences. Band 110, Nr. 15, 9. April 2013, ISSN 0027-8424, S. 5802–5805, doi:10.1073/pnas.1218772110, PMID 23479631, PMC 3625324 (freier Volltext) – (pnas.org [abgerufen am 23. März 2020]).

nzz.ch (Global: 687th place; German: 41st place)

pnas.org (Global: 1,293rd place; German: 678th place)

  • Michal Kosinski, David Stillwell, Thore Graepel: Private traits and attributes are predictable from digital records of human behavior. In: Proceedings of the National Academy of Sciences. Band 110, Nr. 15, 9. April 2013, ISSN 0027-8424, S. 5802–5805, doi:10.1073/pnas.1218772110, PMID 23479631, PMC 3625324 (freier Volltext) – (pnas.org [abgerufen am 23. März 2020]).

redirecter.toolforge.org (Global: 33rd place; German: 2nd place)

  • The Time Has Come: Analytics Delivers for IT Operations. Data Center Journal, archiviert vom Original (nicht mehr online verfügbar) am 24. Februar 2013; abgerufen am 18. Februar 2013.
  • Ben Bergen: Big Data im Schulunterricht. (PDF) Archiviert vom Original am 19. November 2018; abgerufen am 19. November 2018.
  • Weichert fordert Hinterfragung und Erforschung von „Big Data“. 18. März 2013, archiviert vom Original (nicht mehr online verfügbar) am 2. Dezember 2013; abgerufen am 21. März 2013.

softselect.de (Global: low place; German: low place)

spektrum.de (Global: 1,960th place; German: 130th place)

spiegel.de (Global: 66th place; German: 4th place)

magazin.spiegel.de

sueddeutsche.de (Global: 226th place; German: 12th place)

theatlantic.com (Global: 228th place; German: 655th place)

  • Yuval Noah Harari: Why Technology Favors Tyranny. In: The Atlantic. Oktober 2018, ISSN 1072-7825 (theatlantic.com [abgerufen am 11. März 2019]).

umweltbundesamt.de (Global: 8,161st place; German: 558th place)

web.archive.org (Global: 1st place; German: 1st place)

  • Edd Dumbill: What is big data? An introduction to the big data landscape. (Memento vom 23. April 2014 im Internet Archive) auf: strata.oreilly.com, 11. Januar 2012.
  • The Time Has Come: Analytics Delivers for IT Operations. Data Center Journal, archiviert vom Original (nicht mehr online verfügbar) am 24. Februar 2013; abgerufen am 18. Februar 2013.
  • Ben Bergen: Big Data im Schulunterricht. (PDF) Archiviert vom Original am 19. November 2018; abgerufen am 19. November 2018.
  • Weichert fordert Hinterfragung und Erforschung von „Big Data“. 18. März 2013, archiviert vom Original (nicht mehr online verfügbar) am 2. Dezember 2013; abgerufen am 21. März 2013.

wired.com (Global: 193rd place; German: 559th place)

zdb-katalog.de (Global: 123rd place; German: 6th place)

  • Yuval Noah Harari: Why Technology Favors Tyranny. In: The Atlantic. Oktober 2018, ISSN 1072-7825 (theatlantic.com [abgerufen am 11. März 2019]).
  • Michal Kosinski, David Stillwell, Thore Graepel: Private traits and attributes are predictable from digital records of human behavior. In: Proceedings of the National Academy of Sciences. Band 110, Nr. 15, 9. April 2013, ISSN 0027-8424, S. 5802–5805, doi:10.1073/pnas.1218772110, PMID 23479631, PMC 3625324 (freier Volltext) – (pnas.org [abgerufen am 23. März 2020]).
  • Yilun Wang, Michal Kosinski: Deep neural networks are more accurate than humans at detecting sexual orientation from facial images. In: Journal of Personality and Social Psychology. Band 114, Nr. 2, Februar 2018, ISSN 1939-1315, S. 246–257, doi:10.1037/pspa0000098.
  • Andrew G Reece, Christopher M Danforth: Instagram photos reveal predictive markers of depression. In: EPJ Data Science. Band 6, Nr. 1, Dezember 2017, ISSN 2193-1127, S. 15, doi:10.1140/epjds/s13688-017-0110-z.

zeit.de (Global: 267th place; German: 15th place)