Big Data: Algorithms, Analytics, and Applications

Author:   Kuan-Ching Li ,  Hai Jiang ,  Laurence T. Yang ,  Alfredo Cuzzocrea
Publisher:   Taylor & Francis Ltd
ISBN:  

9780367575953


Pages:   498
Publication Date:   30 June 2020
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Big Data: Algorithms, Analytics, and Applications


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Full Product Details

Author:   Kuan-Ching Li ,  Hai Jiang ,  Laurence T. Yang ,  Alfredo Cuzzocrea
Publisher:   Taylor & Francis Ltd
Imprint:   Chapman & Hall/CRC
Weight:   0.861kg
ISBN:  

9780367575953


ISBN 10:   0367575957
Pages:   498
Publication Date:   30 June 2020
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Big Data Management. Big Data Processing. Big Data Stream Techniques and Algorithms. Big Data Privacy. Big Data Applications.

Reviews

The collection presented in the book covers fundamental and realistic issues about Big Data, including efficient algorithmic methods to process data, better analytical strategies to digest data, and representative applications in diverse fields. ... This book is required understanding for anyone working in a major field of science, engineering, business, and financing. -Jack Dongarra, University of Tennessee The editors have assembled an impressive book consisting of 22 chapters written by 57 authors from 12 countries across America, Europe, and Asia. ... This book has great potential to provide fundamental insight and privacy to individuals, long-lasting value to organizations, and security and sustainability to the cyber-physical-social ecosystem .... -D. Frank Hsu, Fordham University These editors are active researchers and have done a lot of work in the area of Big Data. They assembled a group of outstanding chapter authors. ... Each section contains several case studies to demonstrate how the related issues are addressed. ... I highly recommend this timely and valuable book. I believe that it will benefit many readers and contribute to the further development of Big Data research. -Dr. Yi Pan, Georgia State University


Author Information

Kuan-Ching Li, Hai Jiang, Laurence T. Yang, Alfredo Cuzzocrea

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