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  • Wang, Dong  (4)
  • Mallett, Dagmar  (3)
  • Data Mining  (7)
  • Computer Science  (7)
  • 1
    Book
    Book
    Big Data : die Revolution, die unser Leben verändern wird (2017)
    München : Redline Verlag
    Details
    ISBN: 9783868815061
    Language: German
    Pages: 304 Seiten , 155 mm x 215 mm
    Edition: 3. Auflage
    DDC: 302.2
    RVK:
    MS 6950
    RVK:
    QP 345
    RVK:
    SR 850
    RVK:
    ST 530
    RVK:
    ST 650
    Keywords: Datenschutz ; Zukunft ; Sozialer Wandel ; Informationsgesellschaft ; Datenanalyse ; Privatsphäre ; Informationsbeschaffung ; Datenmanagement ; Data Mining ; Big Data ; Digitale Revolution
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    BSZ
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    HeBIS
  • 2
    Online Resource
    Online Resource
    Social sensing : building reliable systems on unreliable data (2015)
    Waltham, MA : Morgan Kaufmann
    Details
    ISBN: 9780128008676 , 9780128011317 (Sekundärausgabe) , 0128011319 (Sekundärausgabe)
    Language: English
    Edition: First edition
    Edition: Online-Ausg. Sebastopol, CA O'Reilly Media Inc. Online-Ressource Safari Tech Books Online ISBN 9780128011317 Online
    Edition: ISBN 0128011319 Online
    Edition: [Online-Ausg.]
    DDC: 004.7
    RVK:
    ST 270
    RVK:
    ST 530
    Keywords: Social Media ; Data Mining ; Big Data
    Note: Online-Ausg.:
    URL: https://learning.oreilly.com/library/view/-/9780128008676
    URL: https://learning.oreilly.com/library/view/-/9780128008676/?ar
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HeBIS
  • 3
    Book
    Book
    Social sensing : building reliable systems on unreliable data (2015)
    Amsterdam : Morgan Kaufmann
    Details
    ISBN: 9780128008676
    Language: English
    Pages: xviii, 213 Seiten
    DDC: 302.30285
    RVK:
    ST 270
    RVK:
    ST 530
    Keywords: Social Media ; Data Mining ; Big Data
    URL: Inhaltsverzeichnis
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    Book
    GBV
    HeBIS
  • 4
    Online Resource
    Online Resource
    Social Sensing : Building Reliable Systems on Unreliable Data (2015)
    Saint Louis : Elsevier Science | Ann Arbor, Michigan : ProQuest
    Details
    ISBN: 9780128011317
    Language: English
    Pages: 1 Online-Ressource (232 pages)
    DDC: 302.3
    RVK:
    ST 270
    RVK:
    ST 530
    Keywords: Social Media ; Data Mining ; Big Data
    Abstract: Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion. Offers a unique interdisciplinary perspective bridging social networks, big data, cyber-physical systems, and reliability Presents novel theoretical foundations for assured social sensing and modeling humans as sensors Includes case studies and application examples based on real data sets Supplemental material includes sample datasets and fact-finding software that implements the main algorithms described in the book.
    Note: Description based on publisher supplied metadata and other sources
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    HeBIS
  • 5
    Online Resource
    Online Resource
    Social sensing : building reliable systems on unreliable data (2015)
    Waltham, MA : Morgan Kaufmann
    Details
    ISBN: 9780128011317 , 0128011319 , 0128008679 , 9780128008676
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Edition: First edition
    Parallel Title: Erscheint auch als
    DDC: 004.7
    RVK:
    ST 530
    Keywords: COMPUTERS / Computer Literacy ; COMPUTERS / Computer Science ; COMPUTERS / Data Processing ; COMPUTERS / Hardware / General ; COMPUTERS / Information Technology ; COMPUTERS / Machine Theory ; COMPUTERS / Reference ; Big data ; Data mining ; Social media ; Cloud computing ; Computer software / Development ; Distributed operating systems (Computers) ; Social media ; Data mining ; Big data ; Data Mining ; Social Media ; Big Data ; Social Media ; Data Mining ; Big Data
    Abstract: Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. Social Sensing: Building Reliable Systems on Unreliable Data looks at recent advances in the emerging field of social sensing, emphasizing the key problem faced by application designers: how to extract reliable information from data collected from largely unknown and possibly unreliable sources. The book explains how a myriad of societal applications can be derived from this massive amount of data collected and shared by average individuals. The title offers theoretical foundations to support emerging data-driven cyber-physical applications and touches on key issues such as privacy. The authors present solutions based on recent research and novel ideas that leverage techniques from cyber-physical systems, sensor networks, machine learning, data mining, and information fusion
    Note: Includes bibliographical references and index
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    E-Resource
    E-Resource
    Big Data : die Revolution, die unser Leben verändern wird (2013)
    [S.l.] : Redline Wirtschaft
    Details
    ISBN: 9783864144592
    Language: German
    Pages: 304 S.
    Edition: Online-Ausg. Wiesbaden Divibib Online-Ressource Onleihe. E-Book [Online-Ausg.]
    DDC: 302.2
    RVK:
    MS 6950
    RVK:
    QP 345
    RVK:
    SR 850
    RVK:
    ST 530
    RVK:
    ST 650
    Keywords: Datenschutz ; Zukunft ; Sozialer Wandel ; Informationsgesellschaft ; Datenanalyse ; Privatsphäre ; Informationsbeschaffung ; Datenmanagement ; Data Mining ; Big Data ; Digitale Revolution
    Note: Online-Ausg.:
    Library Location Call Number Volume/Issue/Year Availability
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    E-Resource
    HeBIS
  • 7
    Book
    Book
    Big Data : die Revolution, die unser Leben verändern wird (2013)
    München : Redline-Verl.
    Details
    ISBN: 3868815066 , 9783868815061
    Language: German
    Pages: 297 S. , 148 mm x 210 mm
    Edition: 1. Aufl.
    Uniform Title: Big data 〈dt.〉
    Parallel Title: Online-Ausg. Mayer-Schönberger, Viktor, 1966 - Big Data
    DDC: 302.2
    RVK:
    MS 7965
    RVK:
    ST 530
    Keywords: Informationsgesellschaft ; Sozialer Wandel ; Big Data ; Datenanalyse ; Datenmanagement ; Informationsbeschaffung ; Privatsphäre ; Datenschutz ; Big Data ; Data Mining ; Digitale Revolution ; Zukunft ; Informationsgesellschaft ; Datenmanagement ; Datenanalyse ; Sozialer Wandel ; Privatsphäre ; Datenschutz
    Abstract: Ob Kaufverhalten, Grippewellen oder welche Farbe am ehesten verrät, ob ein Gebrauchtwagen in einem guten Zustand ist, noch nie gab es eine solche Menge an Daten und noch nie bot sich die Chance, durch Recherche und Kombination in der Datenflut blitzschnell Zusammenhänge zu entschlüsseln. Big Data bedeutet nichts weniger als eine Revolution für Gesellschaft, Wirtschaft und Politik. Es wird die Weise, wie wir über Gesundheit, Erziehung, Innovation und vieles mehr denken, völlig umkrempeln. Und Vorhersagen möglich machen, die bisher undenkbar waren
    Note: Literaturverz. S. 273 - 283
    URL: Inhaltstext
    URL: Inhaltsverzeichnis
    URL: Inhaltstext
    URL: Inhaltsverzeichnis
    URL: http://d-nb.info/1034770748/04
    URL: http://deposit.d-nb.de/cgi-bin/dokserv?id=4335922&prov=M&dok_var=1&dok_ext=htm
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    Book
    BSZ
    GBV
    KOBV
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