A demonstration of mining significant places from cell ID trajectories through a geo-grid based approach

Tengfei Bao*, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Mining the frequently visited places of single mobile users, i.e., significant places, is crucial for supporting personalized location-based services. Most of existing works for significance place mining have a need to take advantage the GPS trajectories of users. However, it is difficult to encourage mobile users to contribute GPS trajectories because of the high power consumption of GPS. In this demonstration, we propose a geo-grid based approach for mining significant places from cell ID trajectories. In our approach, the mined significant places are represented as sets of geo-grids which are much smaller than the coverage areas of cell-sites. To be specific, we firstly extract the stay areas where the mobile user used to stay and map them to many geogrids. Then we mine significant places from the geo-grids by considering their significance.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
Pages328-331
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012 - Bengaluru, Karnataka, India
Duration: 23 Jul 201226 Jul 2012

Publication series

NameProceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Conference

Conference2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
Country/TerritoryIndia
CityBengaluru, Karnataka
Period23/07/1226/07/12

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