1009 search results - page 3 / 202 » Using Data Mining to Estimate Missing Sensor Data |
IPSN
2004
Springer
14 years 3 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
HPCC
2007
Springer
14 years 4 months ago
2007
Springer
Data missing is a common problem in database query processing, which can cause bias or lead to inefficient analyses, and this problem happens more often in sensor databases. The re...
AINA
2008
IEEE
14 years 4 months ago
2008
IEEE
The analysis of gene expression time series obtained from microarray experiments can be effectively exploited to understand a wide range of biological phenomena from the homeostat...
ICAPR
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. In this paper, we deal with the problem of partially observed objects. These objects are defined by a set of points and their shape variations are represented by a statis...
BSN
2006
IEEE
14 years 1 months ago
2006
IEEE
System robustness against individual sensor failures is an important concern in multi-sensor networks. Unfortunately, the complexity of using the remaining sensors to interpolate ...