First EAI International Conference on Computer Science and Engineering

Research Article

Mining Points of Interests with Popular Travel Patterns and Spatial Guidance from Social and Credible Sources

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  • @INPROCEEDINGS{10.4108/eai.27-2-2017.152271,
        author={Erum Haris and Gan Keng Hoon},
        title={Mining Points of Interests with Popular Travel Patterns and Spatial Guidance from Social and Credible Sources},
        proceedings={First EAI International Conference on Computer Science and Engineering},
        publisher={EAI},
        proceedings_a={COMPSE},
        year={2017},
        month={2},
        keywords={trip planning frequent pattern mining spatial relation extraction},
        doi={10.4108/eai.27-2-2017.152271}
    }
    
  • Erum Haris
    Gan Keng Hoon
    Year: 2017
    Mining Points of Interests with Popular Travel Patterns and Spatial Guidance from Social and Credible Sources
    COMPSE
    EAI
    DOI: 10.4108/eai.27-2-2017.152271
Erum Haris1,*, Gan Keng Hoon
  • 1: School of Computer Science, Universiti Sains Malaysia, 11800 Penang, Malaysia
*Contact email: he15_com037@student.usm.my

Abstract

This work aims to utilize social and credible tourism content in order to develop a gazetteer of worth seeing points of interest (POIs) in a region along with mining most popular visit patterns of these POIs followed by experienced travelers. It proposes a new insight to frequent travel pattern mining by enriching these routes with spatial relations among the POIs to facilitate navigation.