Pattern mining in tourist attraction visits through association rule learning on Bluetooth tracking data: A case study of Ghent, Belgium
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- 作者：Mathias Versichelea ; Mathias.Versichele@ugent.be" class="auth_mailAuthor Vitae ; Liesbeth de Grootea ; Liesbethm.DeGroote@ugent.be" class="auth_mailAuthor Vitae ; Manuel Claeys Bouuaerta ; Manuel.ClaeysBouuaert@ugent.be" class="auth_mailAuthor Vitae ; Tijs Neutensa ; Tijs.Neutens@ugent.be" class="auth_mailAuthor Vitae ; Ingrid Moermanb ; Ingrid.Moerman@intec.ugent.be" class="auth_mailAuthor Vitae ; Nico Van de Weghea ; Nico.VandeWeghe@ugent.be" class="auth_mailAuthor Vitae
- 关键词：Data mining ; Association rule learning ; Bluetooth tracking ; Tourist attraction visits
- 刊名：Tourism Management
- 出版年：October 2014
- 年：2014
- 卷：44
- 期：Complete
- 页码：67-81
- 全文大小：2901 K
文摘
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Empirical case study demonstrating the use of Bluetooth tracking for non-participatory collection of tourist movement data.
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Tourists in Ghent, Belgium tracked over 14 tourist attractions, 14 hotels and tourist inquiry desk during 15 days.
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Visit pattern analysis through mining of association rules between tourist attractions.
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Visualization of discovered patterns by visit pattern maps.
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Non-participatory collection of tourist movement data using Bluetooth tracking.