Applied data science in tourism : interdisciplinary approaches, methodologies, and applications / Edited by Roman Egger

By:

Egger, Roman

Language: English Publication details: Springer, Cham, 2022ISBN:

9783030883881

Subject(s):

DDC classification:

338.47910721 EGG

Summary: Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented.

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Holdings
Item type	Current library	Call number	Status	Barcode
Reference	Anna Centenary Library 4TH FLOOR, A WING	338.47910721 EGG (Browse shelf(Opens below))	Not for loan	671975

Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented.

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Applied data science in tourism : interdisciplinary approaches, methodologies, and applications / Edited by Roman Egger

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