Using trend clusters for spatiotemporal interpolation of missing data in a sensor network.
Annalisa AppiceAnna CiampiDonato MalerbaPietro GuccionePublished in: J. Spatial Inf. Sci. (2013)
Keyphrases
- missing data
- sensor networks
- wireless sensor networks
- incomplete data
- missing values
- sensor nodes
- sensor data
- environmental monitoring
- low rank
- data streams
- resource constrained
- data collection
- structure from motion
- communication cost
- matrix factorization
- underwater acoustic
- base station
- energy efficiency
- energy efficient
- clustering algorithm
- mobile sensor networks
- energy consumption
- motion segmentation
- sensor web
- multiple imputation
- data points
- routing protocol
- wireless sensor
- visual sensor networks
- space time
- data imputation
- moving objects
- image processing
- heterogeneous sensor networks
- singular value decomposition
- sensor placement
- data aggregation
- database
- camera calibration
- high dimensional
- data sets