Handbook of Big Data

Peter Bühlmann, Petros Drineas, Michael Kane, Mark van der Laan

February 18, 2016 by Chapman and Hall/CRC
Reference - 464 Pages - 41 Color & 56 B/W Illustrations
ISBN 9781482249071 - CAT# K23707
Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods


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  • Depicts the current landscape of big data analysis
  • Emphasizes computational statistics and machine learning
  • Strikes the right balance not only between statistical theory and applications in computer science but also between the breadth of topics and the depth to which each topic is explored


Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia. Thus, the text instills a working understanding of key statistical and computing ideas that can be readily applied in research and practice.

Offering balanced coverage of methodology, theory, and applications, this handbook:

  • Describes modern, scalable approaches for analyzing increasingly large datasets
  • Defines the underlying concepts of the available analytical tools and techniques
  • Details intercommunity advances in computational statistics and machine learning

Handbook of Big Data also identifies areas in need of further development, encouraging greater communication and collaboration between researchers in big data sub-specialties such as genomics, computational biology, and finance.


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