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» Mining Personally Important Places from GPS Tracks
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KI
2007
Springer
13 years 10 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox
GIS
2004
ACM
14 years 5 months ago
Discovering personal gazetteers: an interactive clustering approach
Personal gazetteers record individuals' most important places, such as home, work, grocery store, etc. Using personal gazetteers in location-aware applications offers additio...
Changqing Zhou, Dan Frankowski, Pamela J. Ludford,...
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 7 months ago
Mining event periodicity from incomplete observations
Advanced technology in GPS and sensors enables us to track physical events, such as human movements and facility usage. Periodicity analysis from the recorded data is an important...
Zhenhui Li, Jingjing Wang, Jiawei Han
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 5 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
EDBT
2011
ACM
225views Database» more  EDBT 2011»
12 years 8 months ago
SeMiTri: a framework for semantic annotation of heterogeneous trajectories
GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For applicati...
Zhixian Yan, Dipanjan Chakraborty, Christine Paren...