LEADER 04920nam 22006135 450 001 9910735382503321 005 20230810174043.0 010 $a9783030883898$b(electronic bk.) 010 $z9783030883881 024 7 $a10.1007/978-3-030-88389-8 035 $a(MiAaPQ)EBC6878141 035 $a(Au-PeEL)EBL6878141 035 $a(CKB)21047799200041 035 $a(DE-He213)978-3-030-88389-8 035 $a(EXLCZ)9921047799200041 100 $a20220131d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Data Science in Tourism $eInterdisciplinary Approaches, Methodologies, and Applications /$fedited by Roman Egger 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (647 pages) 225 1 $aTourism on the Verge,$x2366-262X 311 08$aPrint version: Egger, Roman Applied Data Science in Tourism Cham : Springer International Publishing AG,c2022 9783030883881 320 $aIncludes bibliographical references and index. 327 $aPart 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. 330 $aAccess to large data sets has led to a paradigm shift in the tourism research landscape. Big data is enabling a new form of knowledge gain, while at the same time shaking the epistemological foundations and requiring new methods and analysis approaches. It allows for interdisciplinary cooperation between computer sciences and social and economic sciences, and complements the traditional research approaches. This book provides a broad basis for the practical application of data science approaches such as machine learning, text mining, social network analysis, and many more, which are essential for interdisciplinary tourism research. Each method is presented in principle, viewed analytically, and its advantages and disadvantages are weighed up and typical fields of application are presented. The correct methodical application is presented with a "how-to" approach, together with code examples, allowing a wider reader base including researchers, practitioners, and students entering the field. The book is a very well-structured introduction to data science ? not only in tourism ? and its methodological foundations, accompanied by well-chosen practical cases. It underlines an important insight: data are only representations of reality, you need methodological skills and domain background to derive knowledge from them. - Hannes Werthner, Vienna University of Technology. Roman Egger has accomplished a difficult but necessary task: make clear how data science can practically support and foster travel and tourism research and applications. The book offers a well-taught collection of chapters giving a comprehensive and deep account of AI and data science for tourism. - Francesco Ricci, Free University of Bozen-Bolzano. This well-structured and easy-to-read book provides a comprehensive overview of data science in tourism. It contributes largely to the methodological repository beyond traditional methods. - Rob Law, University of Macau. 410 0$aTourism on the Verge,$x2366-262X 606 $aTourism 606 $aManagement 606 $aArtificial intelligence$xData processing 606 $aStatistics 606 $aTourism Management 606 $aData Science 606 $aStatistics in Business, Management, Economics, Finance, Insurance 615 0$aTourism. 615 0$aManagement. 615 0$aArtificial intelligence$xData processing. 615 0$aStatistics. 615 14$aTourism Management. 615 24$aData Science. 615 24$aStatistics in Business, Management, Economics, Finance, Insurance. 676 $a338.4791 676 $a338.4791028557 702 $aEgger$b Roman 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910735382503321 996 $aApplied data science in tourism$93413732 997 $aUNINA