Data science and analytics

Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.

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Bibliographic Details
Other Authors: Kumari, Sneha, (Editor), Tripathy, K. K., (Editor), Kumbhar, Vidya, (Editor)
Format: eBook
Language: English
Published: Bingley, U.K. : Emerald Publishing Limited, 2020.
Subjects:
Decision making.
Business intelligence.
Big data.
Business & Economics > Decision-Making & Problem Solving.
Management decision making.
elektronické knihy
electronic books
ISBN: 9781800438781
9781800438767
Physical Description: 1 online resource (xxii, 189 pages)

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Table of contents

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020 . . |a 9781800438767  |q electronic bk. 
040 |a UtOrBLW  |b eng  |e rda  |c UtOrBLW 
080 |a 658 
245 0 0 |a Data science and analytics /  |c edited by Dr. Sneha Kumari (Vaikunth Mehta National Institute of Cooperative Management, India), Dr. K. K. Tripathy and Dr. Vidya Kumbhar (Symbiosis Institute of Geoinformatics, India). 
264 1 |a Bingley, U.K. :  |b Emerald Publishing Limited,  |c 2020. 
264 4 |c ©2021 
300 |a 1 online resource (xxii, 189 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Chapter 1: Data visualization /  |r Aarti Mehta Sharma -- Chapter 2: Analytical aspects of multimedia big data computing and future scope /  |r Hiral R. Patel, Ajay M Patel Satyen M Parikh -- Chapter 3: Predictive analysis: comprehensive study of popular open source tools /  |r Gauri Rajendra Virkar, Supriya Sunil Shinde -- Chapter 4: Market opportunities through effective market analytics /  |r Shakti Ranjan Panigrahy -- Chapter 5: Stochastic point process techniques for modelling problems in IoT and marketing: technique of "Random Point Process" (RPP) & "Product density" (PD)techniques in stochastic modeling /  |r KSS Iyer, Madhavi Damle -- Chapter 6: Real-time data analytics - a contemporary approach towards customer relationship management /  |r Samir Yerpude -- Chapter 7: Application of big data for sustainable rural development with special reference to MNREGA /  |r K. K. Tripathy, Sneha Kumari -- Chapter 8: Challenges of digital technologies in the development of supply chains: a guide for their selection /  |r Jorge Tarifa-Fernandez, Almudena Martínez Aguilera, José Felipe Jiménez-Guerrero. 
520 |a Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications. 
588 0 |a Print version record. 
650 0 |a Decision making. 
650 0 |a Business intelligence. 
650 0 |a Big data. 
650 7 |a Business & Economics  |x Decision-Making & Problem Solving.  |2 bisacsh 
650 7 |a Management decision making.  |2 bicssc 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Kumari, Sneha,  |e editor. 
700 1 |a Tripathy, K. K.,  |e editor. 
700 1 |a Kumbhar, Vidya,  |e editor. 
776 |z 9781800438774 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://doi.org/10.1108/9781800438767  |y Full text 

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