| 期刊全称 | Applied Data Science in Tourism | | 期刊简称 | Interdisciplinary Ap | | 影响因子2023 | Roman Egger | | 视频video | | | 发行地址 | Presents the latest approaches like machine learning, text analysis, network analysis, agent based modeling.Includes useful “how-to" and “fact-sheet” sections with each chapter.Examines possible appli | | 学科分类 | Tourism on the Verge | | 图书封面 |  | | 影响因子 | 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 | | Pindex | Textbook 2022 |
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发表于 2025-3-21 19:17:28
