Optimizing Tourism Data Extraction and Analysis: A Comprehensive Methodology

This record corresponds to the accepted manuscript (post-print) of the following conference book chapter:

“Optimizing Tourism Data Extraction and Analysis: A Comprehensive Methodology”.

This chapter proposes a data science–driven methodology for the extraction, processing, and analysis of tourism-related data from heterogeneous and unstructured sources. Using techniques such as graph analysis, unsupervised machine learning, and bibliometric tools, the study provides insights into tourist origin patterns and visitor behavior in Spain, with a detailed focus on Andalusia. The proposed approach supports evidence-based decision-making in tourism management and demonstrates the applicability of data science methods to strategic analysis in the tourism sector.

The final published version is available at the publisher’s website:
https://doi.org/10.1007/978-3-031-52607-7_4

This deposit is made for open access and dissemination purposes, in accordance with the publisher’s self-archiving policy.