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Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring
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Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring (2014)Spatio-temporal facility utilization anal…Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Analysis methods for extracti…From big smartphone data to worldwide research: The Mobile Data Challenge (2013)From big smartphone data to w…Tracking unmodified smartphones using wi-fi monitors (2012)Tracking unmodified smartphon…Automatically characterizing places with opportunistic crowdsensing using smartphones (2012)Automatically characterizing …Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: A novel framework fo…Eigenplaces: Segmenting Space through Digital Signatures (2009)Eigenplaces: Segmenting Space…Understanding street-level urban vibrancy via spatial-temporal Wi-Fi data analytics: Case LivingLine Shanghai (2023)Understanding street-level ur…Towards a smart campus: supporting campus decisions with Internet of Things applications (2020)Towards a smart campus: suppo…BaG: Behavior-Aware Group Detection in Crowded Urban Spaces Using WiFi Probes (2020)BaG: Behavior-Aware Group Det…BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes (2019)BaG: Behavior-aware Group Det…SNOW: Detecting Shopping Groups Using WiFi (2018)SNOW: Detecting Shopping Grou…Activity patterns mining in Wi-Fi access point logs (2017)Activity patterns mining in W…Presumably Simple: Monitoring Crowds Using WiFi (2016)Presumably Simple: Monitoring…Reality mining: sensing complex social systems (2005)Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data (2014)Big data analytics and big data science: a survey (2016)The Double-Edged Sword of Big Data in Organizational and Management Research (2017)Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying structure in routine (2009)Inferring land use from mobile phone activity (2012)Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong (2014)Mobility profiler: A framework for discovering mobility profiles of cell phone users (2010)Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace (2011)Characterizing and modeling people movement from mobile phone sensing traces (2014)Alighting stop determination using two-step algorithms in bus transit systems (2019)Using GPS to learn significant locations and predict movement across multiple users (2003)Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data (2016)Crowdsourcing roles, methods and tools for data-intensive disaster management (2017)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)WiFiPi: Involuntary tracking of visitors at mass events (2013)TrackU: Exploiting User's Mobility Behavior via WiFi List (2017)Exploiting location-related behaviors without the GPS data on smartphones (2019)Integrating high-frequency data in a GIS environment for pedestrian congestion monitoring (2022)Limits of Predictability in Human Mobility (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologies (2020)Metagraph-Based Life Pattern Clustering With Big Human Mobility Data (2022)Space–time tourist flow patterns in community-based tourism: an application of the empirical orthogonal function to Wi-Fi data (2022)Signals from the crowd (2013)GruMon (2014)Inhibited from Bowling Alone (2015)Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data (2020)The use of Bluetooth for analysing spatiotemporal dynamics of human movement at mass events: A case study of the Ghent Festivities (2011)Improving service quality through customer journey analysis (2016)Education at a Glance 2019 (2019)Towards Smart Campus Management: Defining Information Requirements for Decision Making through Dashboard Design (2021)Exploring perceptions of smart, modular living in the UK: a think aloud study (2024)How talkative is your mobile device? (2015)A Study of MAC Address Randomization in Mobile Devices and When it Fails (2017)SocialProbe (2016)Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining (2020)
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References

  • 2012Automatically characterizing places with opportunistic crowdsensing using smartphones272 cited
  • 2012Tracking unmodified smartphones using wi-fi monitors256 cited
  • 2009Eigenplaces: Segmenting Space through Digital Signatures115 cited
  • 2014Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning112 cited
  • 2013From big smartphone data to worldwide research: The Mobile Data Challenge107 cited
  • 2011Jyotish: A novel framework for constructing predictive model of people movement from joint Wifi/Bluetooth trace71 cited

Cited by

  • 2020Towards a smart campus: supporting campus decisions with Internet of Things applications86 cited
  • 2016Presumably Simple: Monitoring Crowds Using WiFi36 cited
  • 2017Activity patterns mining in Wi-Fi access point logs33 cited
  • 2018SNOW: Detecting Shopping Groups Using WiFi26 cited
  • 2020BaG: Behavior-Aware Group Detection in Crowded Urban Spaces Using WiFi Probes18 cited
  • 2019BaG: Behavior-aware Group Detection in Crowded Urban Spaces using WiFi Probes14 cited
  • 2023Understanding street-level urban vibrancy via spatial-temporal Wi-Fi data analytics: Case LivingLine Shanghai8 cited

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