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28 December 2022 Research on business area mining using location data based on hierarchical clustering algorithm
Fangliang Huang, Huanqing Xu, Tongping Shen, Li Jin
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Proceedings Volume 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022); 125060P (2022) https://doi.org/10.1117/12.2661792
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2022), 2022, Beijing, China
Abstract
According to the coverage of cell phone signals in geographic space, combined with time series of cell phone, positioning data can restore the complete realistic activity trajectory of the population, so as to obtain the characteristic information of spatial distribution and activity connection of the population. In this paper, the user location dataset obtained from CMCC is pre-processed, then mined by hierarchical clustering algorithm and combined with data visualization techniques. The experimental results can provide decision support for commercial promotion, so as to carry out targeted business layout.
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Fangliang Huang, Huanqing Xu, Tongping Shen, and Li Jin "Research on business area mining using location data based on hierarchical clustering algorithm", Proc. SPIE 12506, Third International Conference on Computer Science and Communication Technology (ICCSCT 2022), 125060P (28 December 2022); https://doi.org/10.1117/12.2661792
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KEYWORDS
Mining
Cell phones
Data mining
Data modeling
Detection and tracking algorithms
Medicine
Mobile communications
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