Tourism and Big Data: Forecasting with Hierarchical and Sequential Cluster Analysis
Volume: 5, Issue: 1, Pages: 14 - 14
Published: Jun 28, 2021
Abstract
A new Big Data cluster method was developed to forecast the hotel accommodation market. The simulation and training of time series data are from January 2008 to December 2019 for the Spanish case. Applying the Hierarchical and Sequential Clustering Analysis method represents an improvement in forecasting modelling of the Big Data literature. The model is presented to obtain better explanatory and forecasting capacity than models used by Google...
Paper Details
Title
Tourism and Big Data: Forecasting with Hierarchical and Sequential Cluster Analysis
Published Date
Jun 28, 2021
Volume
5
Issue
1
Pages
14 - 14
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