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  • 1
    Online Resource
    Online Resource
    1.2015 -
    ISSN: 2365-029X 
    Title: Open journal of big data
    Subtitle: OJBD
    Other title(s): OJBD
    Publisher(s): Lübeck : RonPub UG
    Published Volumes: 1.2015 -
    Document type: Online Resource
    Physical description: Online-Ressource
    ISSN: 2365-029X
    Subject(s): Zeitschrift
    Link(s): Fulltext
    Link(s): Fulltext
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  • 2
    Online Resource
    Online Resource
    2020
    ISBN: 9780429330797  ISBN: 0429330790  ISBN: 9781000650792  ISBN: 1000650790 
    Title: Big data
    Subtitle: a beginner's introduction
    Publisher(s): Routledge
    Year of publication: 2020
    Document type: Online Resource
    ISBN: 9780429330797 , 0429330790 , 9781000650792 , 1000650790
    Terms of use: Vorläufiger Zugriff bis Ende April 2021
    Subject(s): Big data
    Abstract: "Big Data is everywhere. It shapes our lives in more ways than we know and understand. This comprehensive introduction unravels the complex terabytes that will continue to shape our lives in ways imagined and unimagined. Drawing on case studies like Amazon, Facebook, the FIFA World Cup, and the Aadhar scheme, this book looks at how Big Data is changing the way we behave, consume and respond to situations in the digital age. It looks at how big data has the potential to transform disaster management and healthcare, as well as prove to be authoritarian and exploitative in the wrong hands. The latest offering from the authors of Artificial Intelligence: Evolution, Ethics and Public, this accessibly written volume is essential for the researcher in science and technology studies, media and culture studies, public policy and digital humanities, as well as act as a beacon for the general reader to make sense of the digital age"--
    Link(s): Fulltext
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  • 3
    Online Resource
    Online Resource
    2020
    ISBN: 9781119694991  ISBN: 111969499X  ISBN: 9781119695035  ISBN: 1119695031  ISBN: 9781119695028  ISBN: 1119695023 
    Title: Sharing economy and big data analytics
    Publisher(s): John Wiley & Sons, Inc.
    Year of publication: 2020
    Document type: Online Resource
    ISBN: 9781119694991 , 111969499X , 9781119695035 , 1119695031 , 9781119695028 , 1119695023
    Terms of use: Vorläufiger Zugriff bis Ende November 2020
    Abstract: The different facets of the sharing economy offer numerous opportunities for businesses ' particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data. This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem
    Link(s): Fulltext
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  • 4
    Online Resource
    Online Resource
    2020
    ISBN: 9781119720430  ISBN: 1119720435  ISBN: 9781119720423  ISBN: 1119720427 
    Contributer: Laurent, Anne , Laurent, Dominique , Madera, Cédrine
    Title: Data lakes
    Publisher(s): Wiley
    Year of publication: 2020
    Document type: Online Resource
    ISBN: 9781119720430 , 1119720435 , 9781119720423 , 1119720427
    Terms of use: Vorläufiger Zugriff bis Ende November 2020
    Link(s): Fulltext
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  • 5
    Online Resource
    Online Resource
    1st ed. 2020 2020
    ISBN: 978-3-030-46161-4 
    Title: Contemporary Experimental Design, Multivariate Analysis and Data Mining
    Subtitle: Festschrift in Honour of Professor Kai-Tai Fang
    Edition: 1st ed. 2020
    Publisher(s): Cham : Springer International Publishing | Imprint: Springer
    Document type: Online Resource
    Physical description: 1 Online-Ressource (XVII, 386 p. 42 illus., 30 illus. in color)
    ISBN: 978-3-030-46161-4
    Identifier: 10.1007/978-3-030-46161-4
    Parallel edition(s): Printed edition: 978-3-030-46160-7
    Printed edition: 978-3-030-46162-1
    Printed edition: 978-3-030-46163-8
    Footnote: Vorläufiger Zugriff bis zum Jahresende
    Link(s): Fulltext
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  • 6
    Online Resource
    Online Resource
    2020
    ISBN: 9780191897351 
    Title: Thick big data
    Subtitle: doing digital social sciences
    Publisher(s): Oxford University Press
    Year of publication: 2020
    Document type: Online Resource
    ISBN: 9780191897351
    Terms of use: Vorläufiger Zugriff bis zum Jahresende
    Abstract: The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalised or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data
    Link(s): Fulltext
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  • 7
    Online Resource
    Online Resource
    2020
    ISBN: 9781351029698 (electronic bk.)  ISBN: 135102969X (electronic bk.) 
    Contributer: LeClerc, Benoit , Cale, Jesse
    Title: Big data
    Publisher(s): Routledge, an imprint of the Taylor & Francis Group
    Year of publication: 2020
    Document type: Online Resource
    ISBN: 9781351029698 (electronic bk.) , 135102969X (electronic bk.)
    Terms of use: Vorläufiger Zugriff bis Ende April 2021
    Abstract: "The Internet has launched the world into an era into which enormous amounts of data are generated every day through technologies with both positive and negative consequences. This often refers to Big Data. This book explores Big Data in organisations operating in the criminology and criminal justice fields. Big Data entails a major disruption in the ways we think about and do things, which certainly applies to most organisations including those operating in the criminology and criminal justice fields. Big Data is currently disrupting processes in most organisations - how different organisations collaborate with one another, how organisations develop products or services, how organisations can identify, recruit and evaluate talent, how organisations can make better decisions based on empirical evidence rather than intuition, and how organisations can quickly implement any transformation plan, to name a few"--
    Link(s): Fulltext
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  • 8
    Title: Advances in Operational Research in the Balkans
    Subtitle: XIII Balkan Conference on Operational Research
    Edition: 1st ed. 2020
    Publisher(s): Cham : Springer International Publishing | Imprint: Springer
    Document type: Online Resource
    Physical description: 1 Online-Ressource (XII, 292 p. 57 illus., 31 illus. in color)
    Collective title(s): 2198-7246
    Springer Proceedings in Business and Economics
    ISBN: 978-3-030-21990-1
    Identifier: 10.1007/978-3-030-21990-1
    Parallel edition(s): Printed edition: 978-3-030-21989-5
    Printed edition: 978-3-030-21991-8
    Printed edition: 978-3-030-21992-5
    Footnote: Vorläufiger Zugriff bis zum Jahresende
    Link(s): Fulltext
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  • 9
    Title: Statistical Methods and Applications in Forestry and Environmental Sciences
    Edition: 1st ed. 2020
    Publisher(s): Singapore : Springer Singapore | Imprint: Springer
    Document type: Online Resource
    Physical description: 1 Online-Ressource (XII, 288 p)
    Collective title(s): 2364-6748
    Forum for Interdisciplinary Mathematics
    ISBN: 978-981-15-1476-0
    Identifier: 10.1007/978-981-15-1476-0
    Parallel edition(s): Printed edition: 978-981-15-1475-3
    Printed edition: 978-981-15-1477-7
    Printed edition: 978-981-15-1478-4
    Footnote: Vorläufiger Zugriff bis zum Jahresende
    Link(s): Fulltext
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  • 10
    Online Resource
    Online Resource
    1st ed. 2020 2020
    ISBN: 978-1-4842-4932-1 
    Title: Programming Persistent Memory
    Subtitle: A Comprehensive Guide for Developers
    Edition: 1st ed. 2020
    Publisher(s): Berkeley, CA : Apress | Imprint: Apress
    Document type: Online Resource
    Physical description: 1 Online-Ressource (XXXI, 438 p. 104 illus)
    ISBN: 978-1-4842-4932-1
    Identifier: 10.1007/978-1-4842-4932-1
    Parallel edition(s): Printed edition: 978-1-4842-4931-4
    Printed edition: 978-1-4842-4933-8
    Link(s): Fulltext
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