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CoPFun: an urban co-occurrence pattern mining scheme based on regional function discovery
7 references·4 citing·40 second hop
CoPFun: an urban co-occurrence pattern mining scheme based on regional function discovery (2018)CoPFun: an urban co-occurrence pattern mi…Extracting urban functional regions from points of interest and human activities on location‐based social networks (2017)Extracting urban functional r…Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing (2015)Discovering Functional Zones …Inferring human mobility using communication patterns (2014)Inferring human mobility usin…Inferring building functions from a probabilistic model using public transportation data (2014)Inferring building functions …Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing (2014)Exploiting Heterogeneous Huma…Discovering Urban Functional Zones Using Latent Activity Trajectories (2014)Discovering Urban Functional …Discovering regions of different functions in a city using human mobility and POIs (2012)Discovering regions of differ…Rechargeable Battery Cabinet Deployment for Public Bike System (2022)Rechargeable Battery Cabinet …Inferring Location Types With Geo-Social-Temporal Pattern Mining (2020)Inferring Location Types With…Quantitative 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 (2019)Quantitative Identification o…COOC: Visual Exploration of Co-Occurrence Mobility Patterns in Urban Scenarios (2019)COOC: Visual Exploration of C…Understanding individual human mobility patterns (2008)Urban Spatial Structure (2010)Spotting Trip Purposes from Taxi Trajectories (2017)Comparison of Approaches for Urban Functional Zones Classification Based on Multi-Source Geospatial Data: A Case Study in Yuzhong District, Chongqing, China (2019)Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest (2021)Map projections: A working manual (1987)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Regularity and Conformity (2015)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Limits of Predictability in Human Mobility (2010)Modelling Transport (2011)Human mobility in space from three modes of public transportation (2017)Personalized Air Travel Prediction (2017)Urban mobility analytics: A deep spatial–temporal product neural network for traveler attributes inference (2020)The scaling laws of human travel (2006)A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint (2015)Predicting human mobility through the assimilation of social media traces into mobility models (2016)Shopping mall attraction and social mixing at a city scale (2018)The Death and Life of Great American Cities (1962)Measuring variability of mobility patterns from multiday smart-card data (2015)The Death and Life of Great American Cities (2015)Integrating multi-source big data to infer building functions (2017)The Geography of Transport Systems (2020)Validating activity, time, and space diversity as essential components of urban vitality (2020)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)Natural Scales in Geographical Patterns (2017)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)Understanding house price appreciation using multi-source big geo-data and machine learning (2020)Understanding metropolitan patterns of daily encounters (2013)DeepMove (2018)Interactive visual analytics of moving passenger flocks using massive smart card data (2022)Mining point-of-interest data from social networks for urban land use classification and disaggregation (2015)Beyond Word2vec: An approach for urban functional region extraction and identification by combining Place2vec and POIs (2018)Functional Area Recognition and Use-Intensity Analysis Based on Multi-Source Data: A Case Study of Jinan, China (2021)Research on the Method of Urban Jobs-Housing Space Recognition Combining Trajectory and POI Data (2021)Investigating Human Travel Patterns from an Activity Semantic Flow Perspective: A Case Study within the Fifth Ring Road in Beijing Using Taxi Trajectory Data (2022)Unravelling daily human mobility motifs (2013)Location-Based Service Insights: A Comprehensive Review of Data Mining Objects (2024)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)
this work references cited by second hop

References

  • 2012Discovering regions of different functions in a city using human mobility and POIs1,136 cited
  • 2017Extracting urban functional regions from points of interest and human activities on location‐based social networks470 cited
  • 2014Discovering Urban Functional Zones Using Latent Activity Trajectories413 cited
  • 2014Inferring building functions from a probabilistic model using public transportation data131 cited
  • 2014Inferring human mobility using communication patterns93 cited
  • 2015Discovering Functional Zones Using Bus Smart Card Data and Points of Interest in Beijing64 cited
  • 2014Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing40 cited

Cited by

  • 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 Beijing30 cited
  • 2019COOC: Visual Exploration of Co-Occurrence Mobility Patterns in Urban Scenarios9 cited
  • 2020Inferring Location Types With Geo-Social-Temporal Pattern Mining7 cited
  • 2022Rechargeable Battery Cabinet Deployment for Public Bike System6 cited

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