  Sequential Pattern Mining is an important component in establishing patterns
and mining trends of certain activities. Insights into tourist movement and
activity patterns is deemed beneficial for the tourism sector in many ways,
such as designing better travel packages for tourists, maximizing the tourist
activity participation and meeting the tourist demands. This research proposes
to adopt mobile social media data for effective capturing of tourist activity
information in Singapore and utilizes advanced data mining techniques for
extracting valuable insights into tourist behavior. The proposed methods and
findings of the study have the potential to support tourism managers and policy
makers in making better decisions in tourism destination management.
