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Books > Computing & IT > Applications of computing > Artificial intelligence
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Applied Data Science in Tourism - Interdisciplinary Approaches, Methodologies, and Applications (Hardcover, 1st ed. 2022)
Loot Price: R1,455
Discovery Miles 14 550
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Applied Data Science in Tourism - Interdisciplinary Approaches, Methodologies, and Applications (Hardcover, 1st ed. 2022)
Series: Tourism on the Verge
Expected to ship within 10 - 15 working days
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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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