TY  - BOOK
AU  - Egger, Roman
TI  - 
Applied data science in tourism : interdisciplinary approaches, methodologies, and applications
SN  - 9783030883881
U1  - 338.47910721 EGG 
PB  - Springer, Cham, 2022
KW  -  Tourism Data processing
KW  - Tourism Research Methodology
N2  - 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.
ER  -