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» Computable social patterns from sparse sensor data
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ICDE
2012
IEEE
240views Database» more  ICDE 2012»
13 years 6 days ago
Ego-centric Graph Pattern Census
—There is increasing interest in analyzing networks of all types including social, biological, sensor, computer, and transportation networks. Broadly speaking, we may be interest...
Walaa Eldin Moustafa, Amol Deshpande, Lise Getoor
MOBISYS
2009
ACM
15 years 10 months ago
A methodology for extracting temporal properties from sensor network data streams
The extraction of temporal characteristics from sensor data streams can reveal important properties about the sensed events. Knowledge of temporal characteristics in applications ...
Dimitrios Lymberopoulos, Athanasios Bamis, Andreas...
SDM
2004
SIAM
194views Data Mining» more  SDM 2004»
14 years 11 months ago
Finding Frequent Patterns in a Large Sparse Graph
Graph-based modeling has emerged as a powerful abstraction capable of capturing in a single and unified framework many of the relational, spatial, topological, and other characteri...
Michihiro Kuramochi, George Karypis
EWSN
2008
Springer
15 years 9 months ago
Discovery of Frequent Distributed Event Patterns in Sensor Networks
Today it is possible to deploy sensor networks in the real world and collect large amounts of raw sensory data. However, it remains a major challenge to make sense of sensor data, ...
Kay Römer
LOCA
2007
Springer
15 years 3 months ago
SocialMotion: Measuring the Hidden Social Life of a Building
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
Christopher Richard Wren, Yuri A. Ivanov, Ishwinde...