Despite numerous studies have applied various forecasting models to tourism demand analysis, data mining techniques have been largely overlooked by academic researchers in tourism forecasting prior to 1999. Based on our review of published articles in tourism journals that applied data mining techniques to tourism demand forecasting, we find that the application of data mining techniques are still at their infancy. This paper concludes with practical implications and future research areas. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Law, R., Mok, H., & Goh, C. (2007). Data mining in tourism demand analysis: A retrospective analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4632 LNAI, pp. 508–515). Springer Verlag. https://doi.org/10.1007/978-3-540-73871-8_47
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