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Spatiotemporal analysis in virtual environments using eigenbehaviors
4 references·0 citing·18 second hopsampled
Spatiotemporal analysis in virtual environments using eigenbehaviors (2010)Spatiotemporal analysis in virtual enviro…Eigenplaces: Segmenting Space through Digital Signatures (2009)Eigenplaces: Segmenting Space…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…A Movement Data Analysis and Synthesis Tool for Museum Visitors’ Behaviors (2009)A Movement Data Analysis and …The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Analyzing Museum Visitors’ Behavior Patterns (2007)A Content Management System for User-Driven Museums in Second life (2009)Improving museum visitors' Quality of Experience through intelligent recommendations: A visiting style-based approach (2013)Evaluating museum visitor experiences based on user-generated travel photos (2017)A machine learning approach for IoT cultural data (2019)Reality mining: sensing complex social systems (2005)Inferring land use from mobile phone activity (2012)Analysis methods for extracting knowledge from large-scale WiFi monitoring to inform building facility planning (2014)Towards a Comparative Science of Cities: Using Mobile Traffic Records in New York, London, and Hong Kong (2014)Using GPS to learn significant locations and predict movement across multiple users (2003)Learning and inferring transportation routines (2007)Bridging the gap between physical location and online social networks (2010)Predictability of population displacement after the 2010 Haiti earthquake (2012)A survey of results on mobile phone datasets analysis (2015)The Massachusetts Institute of Technology (1999)Mining large-scale smartphone data for personality studies (2011)Measuring Large-Scale Social Networks with High Resolution (2014)
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References

  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2009Eigenbehaviors: identifying structure in routine439 cited
  • 2009Eigenplaces: Segmenting Space through Digital Signatures115 cited
  • 2009A Movement Data Analysis and Synthesis Tool for Museum Visitors’ Behaviors48 cited

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