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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kumari, Sneha, 1988- (Editor ), Tripathy, Kamal K., 1973- (Editor ), Kumbhar, Vidya, 1980- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley, UK : Emerald Group Publishing, 2021.
Edición:First edition.
Temas:
Acceso en línea:Texto completo

MARC

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049 |a UAMI 
245 0 0 |a Data science and analytics /  |c Editors, Dr. Sneha Kumari, Dr. K.K. Tripathy, and Dr. Vidya Kumbhar. 
250 |a First edition. 
264 1 |a Bingley, UK :  |b Emerald Group Publishing,  |c 2021. 
300 |a 1 online resource :  |b illustrations (some color), color maps 
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. 
588 0 |a Online resource; title from digital title page (viewed on March 09, 2021). 
505 0 |a Chapter 1. Data visualization -- Chapter 2. Analytical aspects of multimedia big data computing and future -- Chapter 3. Predictive analysis: comprehensive study of popular open source tools -- Chapter 4. Market opportunities through effective market analytics -- Chapter 5. Stochastic point process techniques for modelling problems in internet of things (IoT) and marketing -- Chapter 6. Real-Time data analytics -- a contemporary approach towards customer relationship management -- Chapter 7. Application of big data for sustainable rural development with special reference to MNREGA -- Chapter 8. Challenges of digital technologies in the development of supply chains: a guide for their selection. 
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. 
590 |a Emerald Insight  |b Emerald All Book Titles 
650 0 |a Decision making. 
650 0 |a Business intelligence. 
650 0 |a Big data. 
650 2 |a Decision Making 
650 6 |a Prise de décision. 
650 6 |a Données volumineuses. 
650 7 |a decision making.  |2 aat 
650 7 |a Management decision making.  |2 bicssc 
650 7 |a Business & Economics  |x Decision-Making & Problem Solving.  |2 bisacsh 
650 7 |a Big data.  |2 fast  |0 (OCoLC)fst01892965 
650 7 |a Business intelligence.  |2 fast  |0 (OCoLC)fst00842723 
650 7 |a Decision making.  |2 fast  |0 (OCoLC)fst00889035 
700 1 |a Kumari, Sneha,  |d 1988-  |e editor. 
700 1 |a Tripathy, Kamal K.,  |d 1973-  |e editor. 
700 1 |a Kumbhar, Vidya,  |d 1980-  |e editor. 
776 0 8 |i Print version:  |z 9781800438781 
776 0 8 |i Print version:  |z 180043877X  |z 9781800438774  |w (OCoLC)1191242678 
856 4 0 |u https://emerald.uam.elogim.com/insight/publication/doi/10.1108/9781800438767  |z Texto completo 
938 |a Askews and Holts Library Services  |b ASKH  |n AH37657655 
938 |a EBSCOhost  |b EBSC  |n 2570364 
938 |a YBP Library Services  |b YANK  |n 17129390 
994 |a 92  |b IZTAP