Discovering event regions using a large-scale trajectory dataset

Ling Yang, Zhijun Li, Shouxu Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The city is facing the unprecedented pressure with the rapid development and the moving population. Some hidden knowledge can be found to service the social with human trajectory data. In this paper, we define a state-ofthe-art concept on fluctuant locations with PCA method and discover the same attribute of fluctuant locations called event with topic model. In the time slice, locations with the same attribute are called event region. Event regions aim to understand the relationship between spatial-temporal locations in the city and to early-warning analyze for the city planning, construction, intelligent navigation, route planning and location based service. We use GeoLife public data to experiment and verify this paper.

Original languageEnglish (US)
Title of host publicationIntelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings
EditorsZhongyuan Han, Hongzhi Wang, Wanxiang Che, Zeguang Lin, Zhaowen Qiu, Leilei Kong, Haoliang Qi, Junyu Lin
PublisherSpringer New York LLC
Pages204-211
Number of pages8
Volume503
ISBN (Electronic)9783662462478
ISBN (Print)9783662462478
StatePublished - 2015
EventInternational Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015 - Harbin, China
Duration: Jan 10 2015Jan 12 2015

Publication series

NameIFIP Advances in Information and Communication Technology
Volume503
ISSN (Print)1868-4238

Other

OtherInternational Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015
CountryChina
CityHarbin
Period1/10/151/12/15

Keywords

  • Big data
  • Event region
  • Fluctuation location
  • Principal component analysis
  • Topical model

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