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  1. Exploring big historical data
    the historian's macroscope
    Author: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Published: [2022]; © 2022
    Publisher:  World Scientific, New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai ; Tokyo

    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 --... more

    Location:
    Deutsches Museum, Bibliothek
    Inter-library loan:
    No loan of volumes, only paper copies will be sent

    Location:
    Universitätsbibliothek Passau
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Universitätsbibliothek Regensburg
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    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"--

     
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    ISBN: 9789811243035; 9789811243981
    RVK Categories: AK 54515
    Edition: Second edition
    Subjects: History; Big data; Historiography; History; Datenauswertung; Big Data; Geschichtswissenschaft; Methode; Digitalisierung; Künstliche Intelligenz; Geisteswissenschaften; Digital Humanities; Datentechnik
    Other subjects: Computing: Professional & Programming
    Scope: xxvi, 278 Seiten, Illustrationen, 23 cm
    Notes:

    Includes bibliographical references and index
  2. Exploring big historical data
    the historian's macroscope
    Author: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Published: [2022]; © 2022
    Publisher:  World Scientific, New Jersey

    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 --... more

    Location:
    BBF | Bibliothek für Bildungsgeschichtliche Forschung in Berlin
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
    Signature:
    2022/634
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
    Signature:
    NB 2700 115
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Universitätsbibliothek Heidelberg
    Signature:
    2023 A 7373
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Leibniz-Institut für Länderkunde, Geographische Zentralbibliothek
    Signature:
    2022 B 0441
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    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"--

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811243035; 9789811243981
    RVK Categories: NB 2700
    Edition: Second edition
    Subjects: History; Big data; Historiography; History; Geschichtswissenschaft; Digital Humanities; Historische Methode; Data Mining; Taxonomie; Visualisierung; Netzwerkanalyse <Soziologie>
    Scope: xxvi, 278 Seiten, Illustrationen
    Notes:

    Includes bibliographical references and index
  3. Exploring big historical data
    the historian's macroscope
    Author: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Published: [2022]; © 2022
    Publisher:  World Scientific, New Jersey

    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 --... more

    Location:
    BBF | Bibliothek für Bildungsgeschichtliche Forschung in Berlin
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

    Location:
    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
    Inter-library loan:
    Unlimited inter-library loan, copies and loan

     

    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"--

     
    Export to reference management software   RIS file
      BibTeX file
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9789811243035; 9789811243981
    RVK Categories: NB 2700
    Edition: Second edition
    Subjects: History; Big data; Historiography; History; Geschichtswissenschaft; Digital Humanities; Historische Methode; Data Mining; Taxonomie; Visualisierung; Netzwerkanalyse <Soziologie>
    Scope: xxvi, 278 Seiten, Illustrationen
    Notes:

    Includes bibliographical references and index