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  1. Exploring big historical data
    the historian's macroscope
    Autor*in: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Erschienen: [2022]; © 2022
    Verlag:  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 --... mehr

    Standort:
    BBF | Bibliothek für Bildungsgeschichtliche Forschung in Berlin
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    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 in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811243035; 9789811243981
    RVK Klassifikation: NB 2700
    Auflage/Ausgabe: Second edition
    Schlagworte: History; Big data; Historiography; History; Geschichtswissenschaft; Digital Humanities; Historische Methode; Data Mining; Taxonomie; Visualisierung; Netzwerkanalyse <Soziologie>
    Umfang: xxvi, 278 Seiten, Illustrationen
    Bemerkung(en):

    Includes bibliographical references and index
  2. Exploring big historical data
    the historian's macroscope
    Autor*in: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Erschienen: [2022]; © 2022
    Verlag:  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 --... mehr

    Standort:
    Deutsches Museum, Bibliothek
    Fernleihe:
    keine Ausleihe von Bänden, nur Papierkopien werden versandt

    Standort:
    Universitätsbibliothek Passau
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Universitätsbibliothek Regensburg
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    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 in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    ISBN: 9789811243035; 9789811243981
    RVK Klassifikation: AK 54515
    Auflage/Ausgabe: Second edition
    Schlagworte: History; Big data; Historiography; History; Datenauswertung; Big Data; Geschichtswissenschaft; Methode; Digitalisierung; Künstliche Intelligenz; Geisteswissenschaften; Digital Humanities; Datentechnik
    Weitere Schlagworte: Computing: Professional & Programming
    Umfang: xxvi, 278 Seiten, Illustrationen, 23 cm
    Bemerkung(en):

    Includes bibliographical references and index
  3. Exploring big historical data
    the historian's macroscope
    Autor*in: Graham, Shawn; Milligan, Ian; Weingart, Scott B.; Martin, Kim
    Erschienen: [2022]; © 2022
    Verlag:  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 --... mehr

    Standort:
    BBF | Bibliothek für Bildungsgeschichtliche Forschung in Berlin
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Max-Planck-Institut für Bildungsforschung, Bibliothek und wissenschaftliche Information
    Signatur:
    2022/634
    Fernleihe:
    keine Fernleihe

    Standort:
    Universitäts- und Landesbibliothek Sachsen-Anhalt / Zentrale
    Signatur:
    NB 2700 115
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Universitätsbibliothek Heidelberg
    Signatur:
    2023 A 7373
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

    Standort:
    Leibniz-Institut für Länderkunde, Geographische Zentralbibliothek
    Signatur:
    2022 B 0441
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe

     

    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 in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 9789811243035; 9789811243981
    RVK Klassifikation: NB 2700
    Auflage/Ausgabe: Second edition
    Schlagworte: History; Big data; Historiography; History; Geschichtswissenschaft; Digital Humanities; Historische Methode; Data Mining; Taxonomie; Visualisierung; Netzwerkanalyse <Soziologie>
    Umfang: xxvi, 278 Seiten, Illustrationen
    Bemerkung(en):

    Includes bibliographical references and index