Research on the Construction Method of the Frequency Pattern of Populations in Cities

DOI

10.2991/emim-17.2017.200How to use a DOI?

Keywords

Frequent pattern; Hierarchical clustering tree; Branch skew; Abnormal sequence

Abstract

In recent years, with the popularity of mobile terminal equipment and the arrival of the Internet era, people in the city use mobile phones more and more frequently. And the wide use of mobile phones has produced a large number of saptio-temporal data indicating the location as well as containing the law of population mobility in cities, which can be applied to transportation, commercial location, social networking applications, crime analysis, and meteorological research and so on. And if you would like discover this law, you need to carry out complex processing of these data transformation. This paper takes this as the starting point, and mainly studies the construction method of the frequent pattern of Population in cities. In the process of studying the construction method, this paper proposes a method to discretize and serialize the data according to the theory of urban Movement of Population and the existing data mining theory, and then use the hierarchical clustering number for these data Algorithm, as well as use the concept of branch skew to remove the abnormal sequence, consequence generating the pattern set. At the end of this paper, we use the real data set to test the construction method. The results show that the model set generated by this method is a good reflection of the law of population mobility in the city.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Huanliang Sun
AU  - Zhiqing Zhang
AU  - Junling Liu
PY  - 2017/04
DA  - 2017/04
TI  - Research on the Construction Method of the Frequency Pattern of Populations in Cities
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 1004
EP  - 1008
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.200
DO  - 10.2991/emim-17.2017.200
ID  - Sun2017/04
ER  -