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» Challenges for Data Mining in Distributed Sensor Networks
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SENSYS
2010
ACM
13 years 5 months ago
Locating sensors in the wild: pursuit of ranging quality
Localization is a fundamental issue of wireless sensor networks that has been extensively studied in the literature. The real-world experience from GreenOrbs, a sensor network sys...
Wei Xi, Yuan He, Yunhao Liu, Jizhong Zhao, Lufeng ...
TSP
2010
13 years 2 months ago
Optimal/near-optimal dimensionality reduction for distributed estimation in homogeneous and certain inhomogeneous scenarios
We consider distributed estimation of a deterministic vector parameter from noisy sensor observations in a wireless sensor network (WSN). The observation noise is assumed uncorrela...
Jun Fang, Hongbin Li
EUROPAR
1999
Springer
14 years 12 hour ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene
CIDR
2007
141views Algorithms» more  CIDR 2007»
13 years 9 months ago
Data-Driven Processing in Sensor Networks
Wireless sensor networks are poised to enable continuous data collection on unprecedented scales, in terms of area location and size, and frequency. This is a great boon to field...
Adam Silberstein, Gregory Filpus, Kamesh Munagala,...
NETGAMES
2006
ACM
14 years 1 months ago
Meeting technology challenges of pervasive augmented reality games
Pervasive games provide a new type of game combining new technologies with the real environment of the players. While this already poses new challenges to the game developer, requ...
Wolfgang Broll, Jan Ohlenburg, Irma Lindt, Iris He...