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Details

Autor(en) / Beteiligte
Titel
Exploring big historical data : the historian's macroscope
Auflage
Second edition
Ort / Verlag
New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo : World Scientific
Erscheinungsjahr
[2022]
Link zu anderen Inhalten
Beschreibungen/Notizen
  • Includes bibliographical references and index
  • The joys of big data for historians -- The DH moment -- Data mining tools : techniques and visualizations -- Topic modeling : a hands-on adventure in big data -- Making your data legible : a basic introduction to visualizations -- Network analysis -- Networks in practice.
  • "Every day, more and more kinds of historical data become available, opening exciting new avenues of inquiry but also new challenges. This updated and expanded book describes and demonstrates the ways these data can be explored to construct cultural heritage knowledge, for research and in teaching and learning. It helps humanities scholars to grasp Big Data in order to do their work, whether that means understanding the underlying algorithms at work in search engines or designing and using their own tools to process large amounts of information. Demonstrating what digital tools have to offer and also what 'digital' does to how we understand the past, the authors introduce the many different tools and developing approaches in Big Data for historical and humanistic scholarship, show how to use them, what to be wary of, and discuss the kinds of questions and new perspectives this new macroscopic perspective opens up. Originally authored 'live' online with ongoing feedback from the wider digital history community, Exploring Big Historical Data breaks new ground and sets the direction for the conversation into the future. Exploring Big Historical Data should be the go-to resource for undergraduate and graduate students confronted by a vast corpus of data, and researchers encountering these methods for the first time. It will also offer a helping hand to the interested individual seeking to make sense of genealogical data or digitized newspapers, and even the local historical society who are trying to see the value in digitizing their holdings"--
Sprache
Englisch
Identifikatoren
ISBN: 9789811243035, 9789811243981
OCLC-Nummer: 1311972187, 1311972187
Titel-ID: 9925126957706463
Format
xxvi, 278 Seiten; Illustrationen, Diagramme
Systemstelle
KXT
Schlagworte
Big Data, Geschichtswissenschaft, History, Big data, Historiography

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