Abstract
Tourism demand is the total number of persons who travel, or wish to travel, to use tourists' facilities and services at places away from their places of work or residence. Analysis of tourism demand helps companies understand tourists' needs and improves their marketing strategies. Current research for predicting tourism demand is targeted at foreign countries, and the little research targeted at predicting tourism demand in Egypt is based on macro forecasting and not on understanding the collective behaviour of tourists. In this paper, we devise different granularities from tourist data that we collect and use these different granularities to provide different levels of demand prediction. We develop a hybrid prediction framework to analyse tourists' behaviour and infer behaviour rules. These rules will act as recommendations that help to understand tourists' behaviour and their needs, and define future policies regarding tourism in Egypt.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Business Intelligence and Data Mining
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
