Forecasting tourism demand for Lisbon’s region through a data mining approach

Ricardo, H., Ivo, G., & Costa, A. C. (2018). Forecasting tourism demand for Lisbon’s region through a data mining approach. In M. B. Nunes, P. Isaías, & P. Powell (Eds.), Proceedings of the 11th IADIS International Conference Information Systems 2018 (pp. 58-66). IADIS Press. ISBN: 978-989-8...

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Bibliographic Details
Main Author: Ricardo, Hugo (author)
Other Authors: Gonçalves, Ivo (author), Costa, Ana Cristina (author)
Format: conferenceObject
Language:eng
Published: 2022
Subjects:
Forecast
Knowledge discovery
Lisbon
Machine learning
Tourism
Hardware and Architecture
Software
Computer Science Applications
Information Systems
SDG 11 - Sustainable Cities and Communities
Online Access:http://hdl.handle.net/10362/145899
Country:Portugal
Oai:oai:run.unl.pt:10362/145899
Description
Summary:Ricardo, H., Ivo, G., & Costa, A. C. (2018). Forecasting tourism demand for Lisbon’s region through a data mining approach. In M. B. Nunes, P. Isaías, & P. Powell (Eds.), Proceedings of the 11th IADIS International Conference Information Systems 2018 (pp. 58-66). IADIS Press. ISBN: 978-989-8533-74-6

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