Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    Buch
    Buch
    New York, NY :Cambridge University Press,
    UID:
    almafu_BV043326316
    Umfang: x, 327 Seiten : , Diagramme ; , 23 cm.
    ISBN: 978-1-107-10788-5 , 978-1-107-51841-4
    Serie: Analytical methods for social research
    Anmerkung: Literaturangaben
    Weitere Ausg.: Erscheint auch als Online-Ausgabe ISBN 978-1-316-25734-0
    Sprache: Englisch
    Fachgebiete: Informatik , Soziologie
    RVK:
    RVK:
    Schlagwort(e): Sozialwissenschaften ; Computersimulation ; Analytische Methode ; Empirische Sozialforschung ; Big Data ; Quantitative Methode ; Computerunterstütztes Verfahren ; Aufsatzsammlung ; Aufsatzsammlung ; Aufsatzsammlung
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Online-Ressource
    Online-Ressource
    Cambridge : Cambridge University Press
    UID:
    gbv_85268052X
    Umfang: 1 Online-Ressource (x, 327 pages) , digital, PDF file(s).
    ISBN: 9781316257340 , 9781107518414 , 9781107107885
    Serie: Analytical methods for social research
    Inhalt: Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
    Anmerkung: Title from publisher's bibliographic system (viewed on 08 Mar 2016)
    Weitere Ausg.: ISBN 9781107107885
    Weitere Ausg.: ISBN 9781107518414
    Weitere Ausg.: ISBN 9781107107885
    Weitere Ausg.: Erscheint auch als Computational social science Cambridge, United Kingdom : Cambridge University Press, 2016 ISBN 9781107518414
    Weitere Ausg.: ISBN 9781107107885
    Sprache: Englisch
    Fachgebiete: Soziologie
    RVK:
    Schlagwort(e): Sozialwissenschaften ; Computersimulation ; Analytische Methode
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 3
    Online-Ressource
    Online-Ressource
    Cambridge :Cambridge University Press,
    UID:
    almahu_9947413721102882
    Umfang: 1 online resource (x, 327 pages) : , digital, PDF file(s).
    ISBN: 9781316257340 (ebook)
    Serie: Analytical methods for social research
    Inhalt: Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
    Anmerkung: Title from publisher's bibliographic system (viewed on 08 Mar 2016).
    Weitere Ausg.: Print version: ISBN 9781107107885
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 4
    Online-Ressource
    Online-Ressource
    Cambridge :Cambridge University Press,
    UID:
    edocfu_9960117473402883
    Umfang: 1 online resource (x, 327 pages) : , digital, PDF file(s).
    ISBN: 1-316-53056-6 , 1-316-53224-0 , 1-316-25734-7
    Serie: Analytical methods for social research
    Originaltitel: Computational social science (Cambridge University Press)
    Inhalt: Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
    Anmerkung: Title from publisher's bibliographic system (viewed on 08 Mar 2016). , Cover -- Half title -- Series -- Title -- Copyright -- Contents -- Preface -- Introduction -- Part 1: Computational Social Science Tools -- 1 The Application of Big Data in Surveys to the Study of Elections, Public Opinion, and Representation -- 2 Navigating the Local Modes of Big Data: The Case of Topic Models -- 3 Generating Political Event Data in Near Real Time: Opportunities and Challenges -- 4 Network Structure and Social Outcomes: Network Analysis for Social Science -- 5 Ideological Salience in Multiple Dimensions -- 6 Random Forests and Fuzzy Forests in Biomedical Research -- Part 2: Computational Social Science Applications -- 7 Big Data, Social Media, and Protest: Foundations for a Research Agenda -- 8 Measuring Representational Style in the House: The Tea Party, Obama, and Legislators' Changing Expressed Priorities -- 9 Using Social Marketing and Data Science to Make Government Smarter -- 10 Using Machine Learning Algorithms to Detect Election Fraud -- 11 Centralized Analysis of Local Data, with Dollars and Lives on the Line: Lessons from the Home Radon Experience -- Conclusion: Computational Social Science: Toward a Collaborative Future -- Index. , English
    Weitere Ausg.: ISBN 1-107-51841-5
    Weitere Ausg.: ISBN 1-107-10788-1
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 5
    Online-Ressource
    Online-Ressource
    New York, NY :Cambridge University Press,
    UID:
    almafu_9960117473402883
    Umfang: 1 online resource (x, 327 pages) : , digital, PDF file(s).
    Ausgabe: First edition.
    ISBN: 1-316-53056-6 , 1-316-53224-0 , 1-316-25734-7
    Serie: Analytical methods for social research
    Originaltitel: Computational social science (Cambridge University Press)
    Inhalt: Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.
    Anmerkung: Includes index. , Cover -- Half title -- Series -- Title -- Copyright -- Contents -- Preface -- Introduction -- Part 1: Computational Social Science Tools -- 1 The Application of Big Data in Surveys to the Study of Elections, Public Opinion, and Representation -- 2 Navigating the Local Modes of Big Data: The Case of Topic Models -- 3 Generating Political Event Data in Near Real Time: Opportunities and Challenges -- 4 Network Structure and Social Outcomes: Network Analysis for Social Science -- 5 Ideological Salience in Multiple Dimensions -- 6 Random Forests and Fuzzy Forests in Biomedical Research -- Part 2: Computational Social Science Applications -- 7 Big Data, Social Media, and Protest: Foundations for a Research Agenda -- 8 Measuring Representational Style in the House: The Tea Party, Obama, and Legislators' Changing Expressed Priorities -- 9 Using Social Marketing and Data Science to Make Government Smarter -- 10 Using Machine Learning Algorithms to Detect Election Fraud -- 11 Centralized Analysis of Local Data, with Dollars and Lives on the Line: Lessons from the Home Radon Experience -- Conclusion: Computational Social Science: Toward a Collaborative Future -- Index. , English
    Weitere Ausg.: ISBN 1-107-51841-5
    Weitere Ausg.: ISBN 1-107-10788-1
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Meinten Sie 9781107514416?
Meinten Sie 9781107018914?
Meinten Sie 9781107512412?
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie auf den KOBV Seiten zum Datenschutz