BIG DATA FORSIGHT

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5 Michele Banko und Eric Brill 2001: http://acl.ldc.upenn.edu/P/P01/P01-1005.pdf

6 http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

DATA SCIENCE 101

1. Daten erzeugen Sammeln2. Daten ablegen / abrufen (=wiederfinden)3. Daten bereinigen4. Daten analysieren5. Daten visualisieren

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8 Quelle: Google Tends http://www.google.com/trends/explore#q=big%20data,%20business%20intelligence

9Google Correlate www.google.com/trends/correlate

10 Google Ngram Viewer http://books.google.com/ngrams + DB http://books.google.com/ngrams/datasets

11 Acerbi et al 2013 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059030

TEXTANALYSEWort Limburg Stockdorf TaunussteinAar 1 2Aartalbahn 1Aartalhalle 1Abbild 1Abbildung 2aber 7 1 1Abgaben 1

abgegrenzten 1Abgeordnete 1

Abgeordneter 1abgerissen 3Abgerufen 3abgeschlossen 1abgetrennt 1Abitur 2Abschluss 1 1Abschnitt 2Abschnitten 1

Cos(Taunusstein, Stockdorf) 0,75Cos(Stockdorf, Limburg) 0,81Cos(Taunusstein, Limburg) 0,76

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TEXTANALYSE

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jbenno X tirsales: 0.875271765478jbenno X christiansoeder: 0.867212021813jbenno X afelia: 0.846274132298jbenno X sekor: 0.839620669666jbenno X sommercharlie: 0.798025077486jbenno X zinken: 0.762690512216jbenno X djanecek: 0.746300186002jbenno X holadiho: 0.718939291016jbenno X furukama: 0.674379861632jbenno X schlenzalot: 0.664230808291jbenno X dr_ultra: 0.627733894581jbenno X praetorius: 0.586885278055

Analyse 2012 von Benedikt Köhler ( http://blog.metaroll.de )

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15Eric Fischer „See something or say something“http://www.flickr.com/photos/walkingsf/5935471000/in/set-72157627140310742 and „Locals and Tourists“http://www.flickr.com/photos/walkingsf/4671578001/in/set-72157624209158632

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As we know, There are known knowns.

There are things we know we know. We also know

There are known unknowns. That is to say We know there are some things

We do not know. But there are also unknown unknowns, The ones we don't know We don't know.

Donald Rumsfeld

17Avinash Kaushik

unknown unknowns Big Data:„Data democracy“

known unknowns Modellings:„Analysis throwing“

known knowns Dashboards:„Data puking“

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