Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications

Author:   Roman Egger
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
ISBN:  

9783030883881


Pages:   608
Publication Date:   01 February 2022
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications


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Author:   Roman Egger
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2022
Weight:   1.160kg
ISBN:  

9783030883881


ISBN 10:   3030883884
Pages:   608
Publication Date:   01 February 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Theoretical Fundaments.- AI and Big Data in Tourism.- Epistemological Challenges.- Data Science and Interdisciplinarity.- Data Science and Ethical Issues.- Web Scraping.- Part II: Machine Learning.- Machine Learning in Tourism: A Brief Overview.- Feature Engineering.- Clustering.- Dimensionality Reduction.- Classification.- Regression.- Hyperparameter Tuning.- Model Evaluation.- Interpretability of Machine Learning Models.- Part III: Natural Language Processing.- Natural Language Processing (NLP): An Introduction.- Text Representations and Word Embeddings.- Sentiment Analysis.- Topic Modelling.- Entity Matching: Matching Entities Between Multiple Data Sources.- Knowledge Graphs.- Part IV: Additional Methods.- Network Analysis.- Time Series Analysis.- Agent-Based Modelling.- Geographic Information System (GIS).- Visual Data Analysis.- Software and Tools.

Reviews

“Applied Data Science in Tourism is an incredibly helpful contribution to data science research in the fields of tourism and hospitality that is both easy to read and tremendously fascinating. This book is a valuable source of theoretical and methodological knowledge for both academics and industry practitioners of tourism and related fields such as hospitality, leisure, and event management. Especially considering the increasing demand for data analytics and the use of big data in service industries.” (Omid Oshriyeh, Information Technology & Tourism, Vol. 25 (1), 2023)


Author Information

Dr. Roman Egger is a full Professor at the Salzburg University of Applied Sciences at the Department of Innovation and Management in Tourism, where he is the head of eTourism, and head of key competencies and research. His research focus lies on new technologies in tourism and their adoption from a user-centric perspective, as well as on methodological issues in tourism research. Roman has published 19 books so far, a large number of articles and chapters in international journals and edited books, is co-editor of the Journal of Tourism Science (De Gruyter), series editor of “Tourism on the Verge” (Springer), and board member of a number of journals. He is a member of IFITT, AIEST, DGT, and a fellow of The ICE. Roman has received more than a dozen awards in his career.

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