Big Public Data aus dem Programmable Web: HMD Best Paper Award 2019
Author:   Ulrich Matter
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1. Aufl. 2020
ISBN:  

9783658315832


Pages:   33
Publication Date:   19 September 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Big Public Data aus dem Programmable Web: HMD Best Paper Award 2019


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Author:   Ulrich Matter
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1. Aufl. 2020
Weight:   0.085kg
ISBN:  

9783658315832


ISBN 10:   3658315830
Pages:   33
Publication Date:   19 September 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   German

Table of Contents

Einleitung.- Chancen: Datengenerierung und Datenqualität.- Herausforderungen: Webtechnologien und Variabilität der Daten.- Konzeptioneller Lösungsansatz: Data pipelines.- Fallstudie: Religion in der US Politik.- Replizierbarkeit und Verifizierbarkeit der Datensammlung.- Diskussion und Ausblick

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Ulrich Matter ist Assistenzprofessor für Volkswirtschaftslehre an der Universität St. Gallen.

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