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  • 1
    UID:
    b3kat_BV046878735
    Format: 1 Online-Ressource (XVII, 333 Seiten) , Illustrationen
    ISBN: 9783030518707
    Series Statement: Intelligent Systems Reference Library volume 189
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-51869-1
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-51871-4
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-51872-1
    Language: English
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Data Mining ; Datenanalyse ; Data Science
    URL: Volltext  (URL des Erstveröffentlichers)
    Author information: Phillips-Wren, Gloria
    Author information: Jain, L. C. 1946-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1728478898
    Format: 1 Online-Ressource(XVII, 333 p. 127 illus., 93 illus. in color.)
    Edition: 1st ed. 2021.
    ISBN: 9783030518707
    Series Statement: Intelligent Systems Reference Library 189
    Content: Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.
    Additional Edition: ISBN 9783030518691
    Additional Edition: ISBN 9783030518714
    Additional Edition: ISBN 9783030518721
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030518691
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030518714
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030518721
    Language: English
    Keywords: Künstliche Intelligenz
    URL: Cover
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9948612941602882
    Format: XVII, 333 p. 127 illus., 93 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030518707
    Series Statement: Intelligent Systems Reference Library, 189
    Content: Big data and data science are transforming our world today in ways we could not have imagined at the beginning of the twenty-first century. The accompanying wave of innovation has sparked advances in healthcare, engineering, business, science, and human perception, among others. The tremendous advances in computing power and intelligent techniques have opened many opportunities for managing data and investigating data in virtually every field, and the scope of data science is expected to grow over the next decade. These future research achievements will solve old challenges and create new opportunities for growth and development. Thus, the research presented in this book is interdisciplinary and covers themes embracing emotions, artificial intelligence, robotics applications, sentiment analysis, smart city problems, assistive technologies, speech melody, and fall and abnormal behavior detection. The book is directed to the researchers, practitioners, professors and students interested in recent advances in methodologies and applications of data science. An introduction to the topic is provided, and research challenges and future research opportunities are highlighted throughout.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030518691
    Additional Edition: Printed edition: ISBN 9783030518714
    Additional Edition: Printed edition: ISBN 9783030518721
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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