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TOURISM ROUTE DEVELOPMENT USING ASSOCIATION RULE MINING AND GOOGLE MAPS IN SONGKHLA, THAILAND

This research aims to explore tourist behaviour patterns and develop data-driven tourism route recommendations based on Association Rule Mining (ARM), particularly using the Frequent Pattern Growth (FP-Growth) algorithm. The study focuses on identifying co-occurrence patterns among tourist attract...

Deskribapen osoa

Gorde:
Egile Nagusiak: Thanapoom MAAKSORN, Numtip TRAKULMAYKEE, Nattapong TONGTEP
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Editura Universităţii din Oradea 2026-03-01
Saila:Geo Journal of Tourism and Geosites
Gaiak:
association rule
google maps
fp-growth
machine learning
recommendation route
thailand
tourist
Sarrera elektronikoa:https://gtg.webhost.uoradea.ro/PDF/GTG-1-2026/gtg.64140-1691.pdf
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