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Applied Data Science in Tourism : Interdisciplinary Approaches, Methodologies, and Applications

Egger, Roman (ed.) - 2022

Part I: Theoretical Fundaments -- AI and Big Data in Tourism -- Epistemological Challenges -- Data Science and Interdisciplinarity -- Data Science and Ethical Issues -- Web Scraping -- Part II: Machine Learning -- Machine Learning in Tourism: A Brief Overview -- Feature Engineering -- Clustering...

Persistent link: https://www.econbiz.de/10012814832

Data science, predictive analytics, and big data : a revolution that will transform supply chain design and management

Waller, Matthew A.; Fawcett, Stanley E. - In: Journal of business logistics : JBL 34 (2013) 2, pp. 77-84

Persistent link: https://www.econbiz.de/10009766760

Click here for a data scientist : big data, predictive analytics, and theory development in the era of a maker movement supply chain

Fawcett, Stanley E.; Waller, Matthew A. - In: Journal of business logistics : JBL 34 (2013) 4, pp. 249-252

Persistent link: https://www.econbiz.de/10010243163

Data science, predictive analytics, and big data in supply chain management : current state and future potential

Schoenherr, Tobias; Speier-Pero, Cheri - In: Journal of business logistics : JBL 36 (2015) 1, pp. 120-132

Persistent link: https://www.econbiz.de/10011482310

Big data in Asian central banks

Cornelli, Giulio; Dörr, Sebastian; Gambacorta, Leonardo; … - 2022

This paper reviews the use of big data in Asian central banks, leveraging on a survey conducted among the members of the Irving Fisher Committee. The analysis reveals four main insights. First, Asian central banks define big data in a more encompassing way that includes unstructured...