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
Πίνακας περιεχομένων:
  • 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.