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» Using Data Mining to Estimate Missing Sensor Data
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SENSYS
2003
ACM
15 years 11 months ago
Cooperative tracking with binary-detection sensor networks
We present a novel method for tracking the movement of people or vehicles in open outdoor environments using sensor networks. Unlike other sensor network-based methods, which depe...
Kirill Mechitov, Sameer Sundresh, YoungMin Kwon, G...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
15 years 11 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
CLUSTER
2005
IEEE
15 years 11 months ago
Fast Query Processing by Distributing an Index over CPU Caches
Data intensive applications on clusters often require requests quickly be sent to the node managing the desired data. In many applications, one must look through a sorted tree str...
Xiaoqin Ma, Gene Cooperman
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
16 years 3 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 6 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz