Open Foresight
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Big data forsight discusses the key aspects of data science including collecting, storing, cleaning, analyzing, and visualizing data. Popular tools for analyzing trends and correlating data are mentioned like Google Trends, Google Correlate, and Google Ngram Viewer. Text analysis examples are provided showing word frequencies in documents and cosine similarity between texts. Methods of data science like dashboards and modeling are described, and the challenges of unknown unknowns in big data are referenced.
Open Foresight
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- 5. 5 Michele Banko und Eric Brill 2001: http://acl.ldc.upenn.edu/P/P01/P01-1005.pdf
- 7. DATA SCIENCE 101 1. Daten erzeugen Sammeln 2. Daten ablegen / abrufen (=wiederfinden) 3. Daten bereinigen 4. Daten analysieren 5. Daten visualisieren 7
- 8. 8 Quelle: Google Tends http://www.google.com/trends/explore#q=big%20data,%20business%20intelligence
- 10. 10 Google Ngram Viewer http://books.google.com/ngrams + DB http://books.google.com/ngrams/datasets
- 11. 11 Acerbi et al 2013 http://www.plosone.org/article/info:doi/10.1371/journal.pone.0059030
- 13. 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
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- 15. 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
- 16. 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
- 17. known knowns Dashboards: „Data puking“ known unknowns unknown unknowns 17 Modellings: „Analysis throwing“ Big Data: „Data democracy“ Avinash Kaushik
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