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» Challenges for Data Mining in Distributed Sensor Networks
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INFFUS
2008
119views more  INFFUS 2008»
13 years 7 months ago
A scalable correlation aware aggregation strategy for wireless sensor networks
Sensors-to-sink data in wireless sensor networks (WSNs) are typically correlated with each other. Exploiting such correlation when performing data aggregation can result in consid...
Yujie Zhu, Ramanuja Vedantham, Seung-Jong Park, Ra...
CSE
2009
IEEE
13 years 11 months ago
Completely Distributed Low Duty Cycle Communication for Long-Living Sensor Networks
A lifetime of several years for wireless sensor nodes can be achieved if their activity period is minimized. This can be done by using low duty cycle protocols. One of the challeng...
Marcin Brzozowski, Hendrik Salomon, Peter Langendo...
NPC
2004
Springer
14 years 25 days ago
The HKUST Frog Pond - A Case Study of Sensory Data Analysis
Many sensor network applications are data-centric, and data analysis plays an important role in these applications. However, it is a challenging task to find out what specific prob...
Wenwei Xue, Bingsheng He, Hejun Wu, Qiong Luo
AIIA
2009
Springer
14 years 2 months ago
Relational Temporal Data Mining for Wireless Sensor Networks
Wireless sensor networks (WSNs) represent a typical domain where there are complex temporal sequences of events. In this paper we propose a relational framework to model and analys...
Teresa Maria Altomare Basile, Nicola Di Mauro, Ste...
SIGMOD
2004
ACM
209views Database» more  SIGMOD 2004»
14 years 7 months ago
MAIDS: Mining Alarming Incidents from Data Streams
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
Y. Dora Cai, David Clutter, Greg Pape, Jiawei Han,...