001444099 000__ 04717cam\a2200529Ii\4500
001444099 001__ 1444099
001444099 003__ OCoLC
001444099 005__ 20230310003652.0
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001444099 019__ $$a1294921470$$a1295279987$$a1296425225
001444099 020__ $$a9783030883898$$q(electronic bk.)
001444099 020__ $$a3030883892$$q(electronic bk.)
001444099 020__ $$z9783030883881
001444099 020__ $$z3030883884
001444099 0247_ $$a10.1007/978-3-030-88389-8$$2doi
001444099 035__ $$aSP(OCoLC)1294829620
001444099 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCO$$dOCLCF$$dN$T$$dOCLCO$$dUKAHL$$dOCLCQ
001444099 049__ $$aISEA
001444099 050_4 $$aG155.7$$b.A56 2022
001444099 08204 $$a338.4/7910721$$223
001444099 24500 $$aApplied data science in tourism :$$binterdisciplinary approaches, methodologies, and applications /$$cRoman Egger, editor.
001444099 264_1 $$aCham :$$bSpringer,$$c[2022]
001444099 264_4 $$c©2022
001444099 300__ $$a1 online resource.
001444099 336__ $$atext$$btxt$$2rdacontent
001444099 337__ $$acomputer$$bc$$2rdamedia
001444099 338__ $$aonline resource$$bcr$$2rdacarrier
001444099 4901_ $$aTourism on the verge
001444099 504__ $$aIncludes bibliographical references and index.
001444099 5050_ $$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.
001444099 506__ $$aAccess limited to authorized users.
001444099 520__ $$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.
001444099 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 16, 2022).
001444099 650_0 $$aTourism$$xResearch$$xMethodology.
001444099 650_0 $$aTourism$$xData processing.
001444099 655_0 $$aElectronic books.
001444099 7001_ $$aEgger, Roman,$$eeditor.
001444099 77608 $$iPrint version:$$z3030883884$$z9783030883881$$w(OCoLC)1266255651
001444099 830_0 $$aTourism on the verge.
001444099 852__ $$bebk
001444099 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-88389-8$$zOnline Access$$91397441.1
001444099 909CO $$ooai:library.usi.edu:1444099$$pGLOBAL_SET
001444099 980__ $$aBIB
001444099 980__ $$aEBOOK
001444099 982__ $$aEbook
001444099 983__ $$aOnline
001444099 994__ $$a92$$bISE