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CoPFun: an urban co-occurrence pattern mining scheme based on regional function discovery · Study

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ArticleCoPFun: an urban co-occurrence pattern mining scheme based on regional function discovery

Xiangjie Kong2018

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Articlegreen2018

CoPFun: an urban co-occurrence pattern mining scheme based on regional function discovery

Xiangjie Kong · Menglin Li · Jianxin Li · Kaiqi Tian · Xiping Hu · Feng Xia

32 citations·0/0 files stored·World Wide Web

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Human Mobility and Location-Based Analysis Data Mining Algorithms and Applications Data Management and Algorithms

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References

2012Discovering regions of different functions in a city using human mobility and POIs 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks 2014Discovering Urban Functional Zones Using Latent Activity Trajectories 2014Inferring building functions from a probabilistic model using public transportation data 2014Inferring human mobility using communication patterns 2015Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing 2014Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing

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2019Quantitative Identification of Urban Functions with Fishers’ Exact Test and POI Data Applied in Classifying Urban Districts: A Case Study within the Sixth Ring Road in Beijing 2019COOC: Visual Exploration of Co-Occurrence Mobility Patterns in Urban Scenarios 2020Inferring Location Types With Geo-Social-Temporal Pattern Mining 2022Rechargeable Battery Cabinet Deployment for Public Bike System

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Details

Year2018

Typearticle

Published2018-05-28

VenueWorld Wide Web

ISSN-L1386-145X

Languageen

Citations32

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

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doi10.1007/s11280-018-0578-x

openalex_workW2805954057

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