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Detecting Hot Spots Using the Data Field Method

  • Zhenyu Wu
  • Jiaying ChenEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

With the developments of the mobile devices and Internet of things, the location data have recorded amount of information about people activities. Mining the hot spots from the location-based data and studying the changing patterns of hot spots are useful to the early warnings of the disasters, traffic jams and crimes. Current researches on hot spots detections ignore the temporal factors. In this paper, the data field method is used to describe the interactions of spots, and the temporal factors are incorporated into the data field method. Furthermore, a hot spots detection method is proposed. Finally, the heat map is used to illustrate the effectiveness of the proposed method based on an open dataset.

Keywords

Data field Hot spots Location Based Service 

Notes

Acknowledgement

This work is supported by National Natural Science Foundation of China (No. 61502246), NUPTSF (No. NY215019).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Internet of ThingsNanjing University of Posts and TelecommunicationsNanjingChina

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