Description: Further DetailsTitle: Applied Data Science in TourismCondition: NewSubtitle: Interdisciplinary Approaches, Methodologies, and ApplicationsEAN: 9783030883881ISBN: 9783030883881Edition: 1st ed. 2022Publisher: Springer Nature Switzerland AGFormat: HardbackRelease Date: 02/01/2022Description: 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 MacauLanguage: EnglishCountry/Region of Manufacture: CHItem Height: 235mmItem Length: 155mmContributor: Roman Egger (Edited by)Author: Roman EggerBook Series: Tourism on the VergeGenre: Computing & InternetTopic: Science Nature & Math, Business & FinanceRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Publication Name: Applied Data Science in Tourism
Title: Applied Data Science in Tourism
Subtitle: Interdisciplinary Approaches, Methodologies, and Applications
EAN: 9783030883881
ISBN: 9783030883881
Edition: 1st ed. 2022
Release Date: 02/01/2022
Release Year: 2022
Country/Region of Manufacture: CH
Item Height: 235mm
Contributor: Roman Egger (Edited by)
Series: Tourism on the Verge
Book Title: Applied Data Science in Tourism : Interdisciplinary Approaches, Methodologies, and Applications
Number of Pages: Lix, 608 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Earth Sciences / Geography, Industries / Hospitality, Travel & Tourism, Management, Databases / General
Publication Year: 2022
Illustrator: Yes
Genre: Computers, Science, Business & Economics
Item Weight: 40.9 Oz
Author: Roman Egger
Item Length: 9.3 in
Item Width: 6.1 in
Book Series: Tourism on the Verge Ser.
Format: Hardcover