Publikation: Mining “Big Data” using Big Data Services
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2014
Autor:innen
Matzat, Uwe
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Published
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International Journal of Internet Science. 2014, 9(1), pp. 1-8. eISSN 1662-5544
Zusammenfassung
While many colleagues within science are fed up with the “big data fad”, empirical analyses we conducted for the current editorial actually show an inconsistent picture: we use big data services to determine whether there really is an increase in writing about big data or even widespread use of the term. Google Correlate (http://www.google.com/trends/correlate/), the first free tool we are presenting here, doesn’t list the term, showing that number of searches for it are below an absolute minimum that is even mastered by terms like “brobdingnagian” or “sockdolager” (which apparently correlates >.80 in search patterns with searches for “oriental princess” btw.).
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Fachgebiet (DDC)
150 Psychologie
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Article impact, journal impact, Google Scholar Citations, ISI, editorial
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REIPS, Ulf-Dietrich, Uwe MATZAT, 2014. Mining “Big Data” using Big Data Services. In: International Journal of Internet Science. 2014, 9(1), pp. 1-8. eISSN 1662-5544BibTex
@article{Reips2014Minin-31070, year={2014}, title={Mining “Big Data” using Big Data Services}, url={http://www.ijis.net/ijis9_1/ijis9_1_editorial_pre.html}, number={1}, volume={9}, journal={International Journal of Internet Science}, pages={1--8}, author={Reips, Ulf-Dietrich and Matzat, Uwe} }
RDF
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Interner Vermerk
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2015-06-01
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Corresponding Authors der Uni Konstanz vorhanden
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Ja