Description: Applied Data Science in Tourism : Interdisciplinary Approaches, Methodologies, and Applications, Hardcover by Egger, Roman (EDT), ISBN 3030883884, ISBN-13 9783030883881, Like New Used, Free shipping in the US 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.
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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