Digital Economy, Business Analytics, and Big Data Analytics Applications -

Digital Economy, Business Analytics, and Big Data Analytics Applications

Saad G. Yaseen (Herausgeber)

Buch | Hardcover
XII, 739 Seiten
2022 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-05257-6 (ISBN)
320,99 inkl. MwSt

This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications.

The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management.

This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Digital Image Processing for Remote Sensing of the Earth's Surface.- Predictive analysis of energy use based on some forecasting models.- Digital Image Processing for Remote Sensing of the Earth's Surface.- Factors Affecting Student Satisfaction Towards Online Teaching: A Machine Learning Approach.- Firm's Sharia-compliant Status, Cross-sectional Returns, and Malaysian Cross-border Acquisition.- On the Boundary Between Rest Time and Working Hours in a Digital Environment.

Erscheinungsdatum
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XII, 739 p. 130 illus., 101 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 1234 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Technik
Schlagworte Big Data Analytics • Business Intelligence Systems • Computational Intelligence • digital financial services • Digital Marketing • Information Technology Adoption
ISBN-10 3-031-05257-9 / 3031052579
ISBN-13 978-3-031-05257-6 / 9783031052576
Zustand Neuware
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