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

Erum Haris; Gan Keng Hoon

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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Cite: BibTeX Plain Text

@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.

Keywords: trip planning frequent pattern mining spatial relation extraction

Published: 2017-02-28
Publisher: EAI

: http://dx.doi.org/10.4108/eai.27-2-2017.152271