SpringerBriefs in Advanced Information and Knowledge Processing

Models of Computation for Big Data

Authors: Akerkar, Rajendra

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  •  Focuses on the fundamental principles of algorithm design for big data processing
  • Covers advanced models of computation relevant for developing memory-efficient  algorithms
  • Advanced‐level students and researchers focusing on computer and data science will find this book valuable as a text or reference book
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eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-91851-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-91850-1
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  • Usually dispatched within 3 to 5 business days.
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About this book

The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths and address the state of the art challenges in big data that could lead to practical impact. The main goal of this book is to introduce algorithmic techniques for dealing with big data sets. Traditional algorithms work successfully when the input data fits well within memory. In many recent application situations, however, the size of the input data is too large to fit within memory.

Models of Computation for Big Data, covers mathematical models for developing such algorithms, which has its roots in the study of big data that occur often in various applications. Most techniques discussed come from research in the last decade. The book will be structured as a sequence of algorithmic ideas, theoretical underpinning, and practical use of that algorithmic idea. Intended for both graduate students and advanced undergraduate students, there are no formal prerequisites, but the reader should be familiar with the fundamentals of algorithm design and analysis, discrete mathematics, probability and have general mathematical maturity.

Table of contents (4 chapters)

Table of contents (4 chapters)

Buy this book

eBook 44,02 €
price for Spain (gross)
  • ISBN 978-3-319-91851-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 57,19 €
price for Spain (gross)
  • ISBN 978-3-319-91850-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Models of Computation for Big Data
Authors
Series Title
SpringerBriefs in Advanced Information and Knowledge Processing
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-319-91851-8
DOI
10.1007/978-3-319-91851-8
Softcover ISBN
978-3-319-91850-1
Series ISSN
2524-5198
Edition Number
1
Number of Pages
VIII, 104
Number of Illustrations
3 b/w illustrations
Topics