Items related to Big Data Analytics: Systems, Algorithms, Applications

Big Data Analytics: Systems, Algorithms, Applications - Softcover

 
9789811500961: Big Data Analytics: Systems, Algorithms, Applications
  • PublisherSpringer
  • Publication date2020
  • ISBN 10 9811500967
  • ISBN 13 9789811500961
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages438

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9789811500930: Big Data Analytics: Systems, Algorithms, Applications

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ISBN 10:  9811500932 ISBN 13:  9789811500930
Publisher: Springer, 2019
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Prabhu, C.S.R.; Chivukula, Aneesh Sreevallabh; Mogadala, Aditya; Ghosh, Rohit; Livingston, L.M. Jenila
Published by Springer, 2020
ISBN 10: 9811500967 ISBN 13: 9789811500961
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ISBN 10: 9811500967 ISBN 13: 9789811500961
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Prabhu, C.S.R.; Chivukula, Aneesh Sreevallabh; Mogadala, Aditya; Ghosh, Rohit; Livingston, L.M. Jenila
Published by Springer, 2020
ISBN 10: 9811500967 ISBN 13: 9789811500961
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Prabhu, C.S.R.; Chivukula, Aneesh Sreevallabh; Mogadala, Aditya; Ghosh, Rohit; Livingston, L.M. Jenila
Published by Springer, 2020
ISBN 10: 9811500967 ISBN 13: 9789811500961
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C. S. R. Prabhu
ISBN 10: 9811500967 ISBN 13: 9789811500961
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy.With regard to machine learning techniques, the book presents all the standard algorithms for learning - including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered.In turn, the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition.Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike. 440 pp. Englisch. Seller Inventory # 9789811500961

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ISBN 10: 9811500967 ISBN 13: 9789811500961
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem. On the applications front, the book offers detailed descriptions of various application areas for Big Data Analytics in the important domains of Social Semantic Web Mining, Banking and Financial Services, Capital Markets, Insurance, Advertisement, Recommendation Systems, Bio-Informatics, the IoT and Fog Computing, before delving into issues of security and privacy.With regard to machine learning techniques, the book presents all the standard algorithms for learning - including supervised, semi-supervised and unsupervised techniques such as clustering and reinforcement learning techniques to perform collective Deep Learning. Multi-layered and nonlinear learning for Big Data are also covered.In turn,the book highlights real-life case studies on successful implementations of Big Data Analytics at large IT companies such as Google, Facebook, LinkedIn and Microsoft. Multi-sectorial case studies on domain-based companies such as Deutsche Bank, the power provider Opower, Delta Airlines and a Chinese City Transportation application represent a valuable addition.Given its comprehensive coverage of Big Data Analytics, the book offers a unique resource for undergraduate and graduate students, researchers, educators and IT professionals alike. Seller Inventory # 9789811500961

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C.S.R. Prabhu|Aneesh Sreevallabh Chivukula|Aditya Mogadala|Rohit Ghosh|L.M. Jenila Livingston
Published by Springer Singapore, 2020
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest developments in data science algorithms, the output of which is highlighted in terms of the approaches to mining Big Data pursued by programmers, scientists, and managersDocuments the machine lear. Seller Inventory # 407007447

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Prabhu, C.S.R., Chivukula, Aneesh Sreevallabh, Mogadala, Adi
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ISBN 10: 9811500967 ISBN 13: 9789811500961
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