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BIG DATA FORSIGHT

2
3
4
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 Sammeln
2. Daten ablegen / abrufen (=wiederfinden)
3. Daten bereinigen
4. Daten analysieren
5. Daten visualisieren

7
8

Quelle: Google Tends http://www.google.com/trends/explore#q=big%20data,%20business%20intelligence
9
Google 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
TEXTANALYSE
Wort
Aar
Aartalbahn
Aartalhalle
Abbild
Abbildung
aber
Abgaben

Limburg
1

1
2
7
1

abgegrenzten
Abgeordnete

1

1
1

Abgeordneter
abgerissen
Abgerufen
abgeschlossen
abgetrennt
Abitur
Abschluss
Abschnitt
12
Abschnitten

Stockdorf

1
3
3
1
1
2
1
2
1

1

Taunusstein
2
1
1

1

Cos(Taunusstein,
Stockdorf) 0,75
Cos(Stockdorf,
Limburg) 0,81
Cos(Taunusstein,
Limburg) 0,76
TEXTANALYSE
jbenno X tirsales: 0.875271765478
jbenno X christiansoeder: 0.867212021813
jbenno X afelia: 0.846274132298
jbenno X sekor: 0.839620669666
jbenno X sommercharlie: 0.798025077486
jbenno X zinken: 0.762690512216
jbenno X djanecek: 0.746300186002
jbenno X holadiho: 0.718939291016
jbenno X furukama: 0.674379861632
jbenno X schlenzalot: 0.664230808291
jbenno X dr_ultra: 0.627733894581
jbenno X praetorius: 0.586885278055
Analyse 2012 von Benedikt Köhler ( http://blog.metaroll.de )

13
14
15

Eric 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
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

16
known knowns

Dashboards:
„Data puking“

known unknowns

unknown unknowns

17

Modellings:
„Analysis throwing“

Big Data:
„Data democracy“

Avinash Kaushik
18
19
20
21
22

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