Overview
- Presents the latest approaches like machine learning, text analysis, network analysis, agent based modeling
- Includes useful “how-to" and “fact-sheet” sections with each chapter
- Examines possible applications and uses within the field of tourism research
Part of the book series: Tourism on the Verge (TV)
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Table of contents (26 chapters)
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Theoretical Fundaments
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Natural Language Processing
Keywords
About this book
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
Reviews
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Applied Data Science in Tourism
Book Subtitle: Interdisciplinary Approaches, Methodologies, and Applications
Editors: Roman Egger
Series Title: Tourism on the Verge
DOI: https://doi.org/10.1007/978-3-030-88389-8
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-88388-1Published: 01 February 2022
eBook ISBN: 978-3-030-88389-8Published: 31 January 2022
Series ISSN: 2366-2611
Series E-ISSN: 2366-262X
Edition Number: 1
Number of Pages: LIX, 608
Number of Illustrations: 1 b/w illustrations
Topics: Tourism Management, Data Structures and Information Theory, Artificial Intelligence, Statistics for Business, Management, Economics, Finance, Insurance