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  • 1
    Online-Ressource
    Online-Ressource
    Oakland, California : University of California Press
    UID:
    gbv_188865208X
    Umfang: 1 Online-Ressource
    ISBN: 9780520965874 , 0520965876
    Inhalt: "Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information, and it is written for researchers and data analysts, as well as students who hold no prior experience in statistics or computer science. Suitable for a variety of courses--including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods--the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: appreciate the role of data mining in scientific research; develop expertise in fundamental concepts of data mining and knowledge discovery; use software to carry out data mining tasks; select and assess appropriate models to ensure findings are valid and meaningful; develop basic skills in data preparation, data mining, model selection, and validation. Learning tools include an exercise section and review summary at the end of each chapter, while instructor's resources include instructions on how to carry out data mining tasks on various software"--
    Anmerkung: Includes bibliographical references and index , Knowledge discovery and data mining in social science research -- Data preprocessing -- Model assessment -- Data mining : unsupervised learning -- Data mining : supervised learning -- Data mining : text data and network data.
    Weitere Ausg.: ISBN 9780520339996
    Weitere Ausg.: ISBN 9780520292307
    Weitere Ausg.: ISBN 0520339991
    Weitere Ausg.: ISBN 0520292308
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe Shu, Xiaoling, 1968- Knowledge discovery in the social sciences Oakland, California : University of California Press, [2020] ISBN 9780520339996
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Buch
    Buch
    Oakland, California : University of California Press
    UID:
    gbv_167037534X
    Umfang: 253 Seiten , Illustrationen, Diagramme
    ISBN: 9780520292307 , 9780520339996
    Inhalt: Knowledge discovery and data mining in social science research -- Data preprocessing -- Model assessment -- Data mining : unsupervised learning -- Data mining : supervised learning -- Data mining : text data and network data.
    Inhalt: "Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information, and it is written for researchers and data analysts, as well as students who hold no prior experience in statistics or computer science. Suitable for a variety of courses--including upper-division courses for undergraduates, introductory courses for graduate students, and courses in data management and advanced statistical methods--the book guides readers in the application of data mining techniques and illustrates the significance of newly discovered knowledge. Readers will learn to: appreciate the role of data mining in scientific research; develop expertise in fundamental concepts of data mining and knowledge discovery; use software to carry out data mining tasks; select and assess appropriate models to ensure findings are valid and meaningful; develop basic skills in data preparation, data mining, model selection, and validation. Learning tools include an exercise section and review summary at the end of each chapter, while instructor's resources include instructions on how to carry out data mining tasks on various software"--
    Anmerkung: Literaturangaben
    Weitere Ausg.: ISBN 9780520965874
    Weitere Ausg.: Erscheint auch als Online-Ausgabe Shu, Xiaoling, 1968 - Knowledge Discovery in the Social Sciences Berkeley : University of California Press, 2020 ISBN 9780520965874
    Sprache: Englisch
    Schlagwort(e): Sozialwissenschaften ; Data Mining ; Datenanalyse ; Empirische Sozialforschung ; Quantitative Methode
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
    BibTip Andere fanden auch interessant ...
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