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Mining Personally Important Places from GPS Tracks

10 years 6 months ago
Mining Personally Important Places from GPS Tracks
The discovery of a person’s personally important places involves obtaining the physical locations for a person’s places that matter to his daily life and routines. This problem is driven by the requirements from emerging location-aware applications, which allow a user to pose queries and obtain information in reference to places, e.g., “home”, “work” or “Northwest Health Club”. It is a challenge to map from physical locations to personally meaningful places because GPS tracks are continuous data both spatially and temporally, while most existing data mining techniques expect discrete data. Previous work has explored algorithms to discover personal places from location data. However, they all have limitations. Our work proposes a two-step approach that discretized continuous GPS data into places and learns important places from the place features. Our approach was validated using real user data and shown to have good accuracy when applied in predicting not only importan...
Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, L
Added 03 Jun 2010
Updated 03 Jun 2010
Type Conference
Year 2007
Where ICDE
Authors Changqing Zhou, Nupur Bhatnagar, Shashi Shekhar, Loren G. Terveen
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