Applied Data Science in Tourism : Interdisciplinary Approaches, Methodologies, and Applications - Tourism on the Verge

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. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. 

ISBN:	9783030883881
Publisher:	Springer International Publishing
Imprint:	Springer
Published date:	01 Feb 2022
DEWEY:	338.4791028557
DEWEY edition:	23
Language:	English
Number of pages:	608
Weight:	1160g
Height:	235mm
Width:	155mm
Spine width:	37mm

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