Data Science and Digital Business

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: García Márquez, Fausto Pedro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Lev, Benjamin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Data Science and Digital Business  |h [electronic resource] /  |c edited by Fausto Pedro García Márquez, Benjamin Lev. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a VIII, 316 p. 117 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Advanced Regression Models in Data Science -- Data Science Method in Analysis of Flood Risk in Mississippi Gulf Coast Area -- An efficient bundle-like algorithm for data-driven multi-objective bi-level signal design for traffic networks with hazardous material transportation -- Deploying a scalable Data Science environment using Docker -- Data Science and Conversational Interfaces: A new revolution in Digital Business -- After 2017: Managers Exit and Banks Arise. 
520 |a This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Big data. 
650 0 |a Management information systems. 
650 0 |a E-commerce. 
650 0 |a Statistics . 
650 0 |a Engineering economics. 
650 0 |a Engineering economy. 
650 1 4 |a Operations Research/Decision Theory.  |0 http://scigraph.springernature.com/things/product-market-codes/521000 
650 2 4 |a Big Data/Analytics.  |0 http://scigraph.springernature.com/things/product-market-codes/522070 
650 2 4 |a Business Information Systems.  |0 http://scigraph.springernature.com/things/product-market-codes/522030 
650 2 4 |a e-Commerce/e-business.  |0 http://scigraph.springernature.com/things/product-market-codes/I26000 
650 2 4 |a Statistics for Business, Management, Economics, Finance, Insurance.  |0 http://scigraph.springernature.com/things/product-market-codes/S17010 
650 2 4 |a Engineering Economics, Organization, Logistics, Marketing.  |0 http://scigraph.springernature.com/things/product-market-codes/T22016 
700 1 |a García Márquez, Fausto Pedro.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Lev, Benjamin.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
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776 0 8 |i Printed edition:  |z 9783319956503 
776 0 8 |i Printed edition:  |z 9783319956527 
856 4 0 |u https://doi.org/10.1007/978-3-319-95651-0  |z Full Text via HEAL-Link 
912 |a ZDB-2-BUM 
950 |a Business and Management (Springer-41169)