Sciweavers

3 search results - page 1 / 1
» Discovering Relevant Sensor Data by Q-Analysis
Sort
View
ROBOCUP
2005
Springer
102views Robotics» more  ROBOCUP 2005»
13 years 10 months ago
Discovering Relevant Sensor Data by Q-Analysis
Abstract. This paper proposes a novel method for supervised classification based on the methodology of Q-analysis. The classification is based on finding ‘relevant’ structur...
Pejman Iravani
ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
13 years 11 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
EDBT
2006
ACM
191views Database» more  EDBT 2006»
14 years 4 months ago
Distributed Spatial Clustering in Sensor Networks
Abstract. Sensor networks monitor physical phenomena over large geographic regions. Scientists can gain valuable insight into these phenomena, if they understand the underlying dat...
Anand Meka, Ambuj K. Singh