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Data Science and Digital Business / / edited by Fausto Pedro García Márquez, Benjamin Lev



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Titolo: Data Science and Digital Business / / edited by Fausto Pedro García Márquez, Benjamin Lev Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Edizione: 1st ed. 2019.
Descrizione fisica: 1 online resource (VIII, 316 p. 117 illus.)
Disciplina: 658.40301
Soggetto topico: Operations research
Decision making
Big data
Management information systems
E-commerce
Statistics 
Engineering economics
Engineering economy
Operations Research/Decision Theory
Big Data/Analytics
Business Information Systems
e-Commerce/e-business
Statistics for Business, Management, Economics, Finance, Insurance
Engineering Economics, Organization, Logistics, Marketing
Persona (resp. second.): García MárquezFausto Pedro
LevBenjamin
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Data Science and Digital Business  Visualizza cluster
ISBN: 3-319-95651-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910337787303321
Lo trovi qui: Univ. Federico II
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