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» Finding Symbolic Bug Patterns in Sensor Networks
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PERCOM
2007
ACM
15 years 9 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
EUROSSC
2007
Springer
15 years 3 months ago
Escalation:  Complex Event Detection in Wireless Sensor Networks
We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns...
Michael Zoumboulakis, George Roussos
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
15 years 9 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
EDBT
2006
ACM
179views Database» more  EDBT 2006»
15 years 9 months ago
TrajPattern: Mining Sequential Patterns from Imprecise Trajectories of Mobile Objects
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...
Jiong Yang, Meng Hu
SIGMOD
2003
ACM
121views Database» more  SIGMOD 2003»
15 years 9 months ago
An environmental sensor network to determine drinking water quality and security
Finding patterns in large, real, spatio/temporal data continues to attract high interest (e.g., sales of products over space and time, patterns in mobile phone users; sensor netwo...
Anastassia Ailamaki, Christos Faloutsos, Paul S. F...