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Huayu Wu · Wee Siong Ng · Mingqiang Xue · Wei Chen

10 citations0/0 files storedACM SIGMOD International Conference on Management of Data (SIGMOD)

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Human Mobility and Location-Based Analysis Data Mining Algorithms and Applications Data Management and Algorithms

Abstract

The tourism industry is a key economic driver for many cities. To understand tourists' traveling patterns can help both public and private relevant sectors design and improve their services to serve tourists better and get additional values from it. The existing approaches to discover tourists' traveling pattern focus on small sets of known tourists extracted from social media or other channels. The accuracy of the mining result cannot be guaranteed due to the small and bias set of samples.

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2014Measuring tourist activities in cities using geotagged photography 2009Mining tourist information from user-supplied collections 2014Identifying tourists from public transport commuters

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2019Managing customer knowledge through the use of big data analytics in tourism research 2021Development of a Common Framework for Analysing Public Transport Smart Card Data 2021Sources of Data to Tackle the Challenges of Public Transport Provision in Seasonal Tourist Destinations

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