Big data analytics : systems, algorithms, applications / C.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghoh, L.M. Jenila Livingston.
2019
QA76.9.B45 P73 2019
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Details
Title
Big data analytics : systems, algorithms, applications / C.S.R. Prabhu, Aneesh Sreevallabh Chivukula, Aditya Mogadala, Rohit Ghoh, L.M. Jenila Livingston.
Author
Prabhu, C. S. R., author.
ISBN
9789811500947 (electronic book)
9811500940 (electronic book)
9789811500930
9811500940 (electronic book)
9789811500930
Published
Singapore : Springer Singapore Pte. Limited, [2019]
Language
English
Description
1 online resource (422 pages)
Call Number
QA76.9.B45 P73 2019
Dewey Decimal Classification
005.7
Summary
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.
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Access limited to authorized users.
Source of Description
Description based on print version record.
Description based on online resource; title from digital title page (viewed on November 06, 2019).
Description based on online resource; title from digital title page (viewed on November 06, 2019).
Added Author
Chivukula, Aneesh Sreevallabh, author.
Mogadala, Aditya, author.
Ghosh, Rohit, author.
Livingston, L. M. Jenila, author.
Mogadala, Aditya, author.
Ghosh, Rohit, author.
Livingston, L. M. Jenila, author.
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Big Data Analytics: Systems, Algorithms, Applications
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