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Applied data science in tourism : (Record no. 267147)

MARC details
000 -LEADER
fixed length control field 05409cam a2200553Ii 4500
001 - CONTROL NUMBER
control field ocn1294829620
003 - CONTROL NUMBER IDENTIFIER
control field OCoLC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220414163854.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220202s2022 sz ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030883898
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3030883892
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9783030883881
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 3030883884
040 ## - CATALOGING SOURCE
Original cataloging agency YDX
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency YDX
Modifying agency GW5XE
-- EBLCP
-- OCLCO
-- OCLCF
-- N$T
-- OCLCO
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS081000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 338.47910721 EGG
Edition number 23
245 00 - TITLE STATEMENT
Title Applied data science in tourism :
Remainder of title interdisciplinary approaches, methodologies, and applications /
Statement of responsibility, etc. Roman Egger, editor.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham :
Name of producer, publisher, distributor, manufacturer Springer,
Date of production, publication, distribution, manufacture, or copyright notice [2022]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2022
300 ## - PHYSICAL DESCRIPTION
Extent lix, 608 pages,
Dimensions 24 cm
336 ## - CONTENT TYPE
Content type code txt
337 ## - MEDIA TYPE
Media type code c
338 ## - CARRIER TYPE
Carrier type code cr
490 1# - SERIES STATEMENT
Series statement Tourism on the verge
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 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.
520 ## - SUMMARY, ETC.
Summary, etc. 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.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Online resource; title from PDF title page (SpringerLink, viewed February 16, 2022).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tourism
General subdivision Research
-- Methodology.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tourism
General subdivision Data processing.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tourism
General subdivision Data processing.
Source of heading or term fast
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
9 (RLIN) 18
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Egger, Roman,
Relator term editor.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Tourism on the verge.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Long Loan
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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Series part designator, SPT (RLIN) IT
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Series part designator, SPT (RLIN) NL
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949 ## - LOCAL PROCESSING INFORMATION (OCLC)
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Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     TUS: Midlands, Main Library TUS: Midlands, Main Library Athlone General Lending 13/04/2022 2 74.99 1 5 338.47910721 EGG 225412 11/01/2023 26/04/2022 96.29 13/04/2022 Long Loan

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