Applied Data Science in Tourism

Name: Applied Data Science in Tourism
Brand: Springer Nature Switzerland AG
SKU: 9783030883881
Price: 288.79 RON
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Interdisciplinary Approaches, Methodologies, and Applications

Autor: Roman Egger

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Legare: Copertă tare

Editura: Springer Nature Switzerland AG

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Access to large data sets has led to a paradigm shift in the tourism research landscape. Big data is...

Informații despre carte

Autor

Roman Egger

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2022

Pagini

608

EAN

9783030883881

ISBN

3030883884

Enbook ID

38323297

Editura

Springer Nature Switzerland AG

Greutate

1160

Dimensiuni

155 x 235 x 41

Descriere completă

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. The book is a very well-structured introduction to data science - not only in tourism - and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them- Hannes Werthner, Vienna University of Technology Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism- Francesco Ricci, Free University of Bozen-Bolzano This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods.- Rob Law, University of Macau

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Applied Data Science in Tourism

Interdisciplinary Approaches, Methodologies, and Applications

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