Extracting places from traces of locations

By Jong Hee Kang, William Welbourne, Benjamin Stewart, Gaetano Borriello. Wireless Mobile Applications and Services on WLAN Hotspots, 2004

430 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/4e394b6469d85b8fe3db71ddd6fc085019fec5b0

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In Computer Networks and Communications

In Electrical and Electronic Engineering

In Transportation

Citations in the corpus

NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011, methodology): “Extracting Places from GPS Data Many solutions for the extraction of significant places from GPS measurements have been presented in the literature [2, 11, 28].”
Indoor localization without infrastructure using the acoustic background spectrum (2011, background): “Other place identification works cluster a time series of location coordinates (obtained by GPS or radio) to identify places, [16].”
SensLoc: sensing everyday places and paths using less energy (2010, methodology): “[13], we implemented to evaluate our place detection algorithm.”
Identifying Important Places in People's Lives from Cellular Network Data (2011, background): “[13] explored how clustering locations obtained through WiFi beacons can be used for identifying places people visit.”
Inference Attacks on Location Tracks (2007, methodology): “[18] used time-based clustering to identify places that the user would likely find important.”
Extracting a Mobility Model from Real User Traces (2006, methodology): “demonstrate a method for clustering a sequence of location observations to identify “places” within a moving user’s path [21].”
Recruitment Framework for Participatory Sensing Data Collections (2010, background): “Then, location points within a certain time period (at least 15 minutes) and distance bound (50 meters) are grouped into “stays” [44].”
Mining significant semantic locations from GPS data (2010, background): “Some recent studies [2, 10, 24] consider the extraction of locations from GPS records, but do not consider location significance.”
Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010, background): “Computer scientists have also performed interesting studies to determine meaningful places from mobile positioning data and to develop algorithms for location-based services with different methods such as clustering movements and places (Kang et al. , 2004).”