Methods for improving the accuracy of sensors with a significant influence of non-informative factors.
Jun SuNataliya RoshchupkinaVolodymyr KochanOlekxiy RoshchupkinAnatoliy SachenkoPublished in: SAS (2016)
Keyphrases
- computational cost
- preprocessing
- classification accuracy
- cross validation
- decision trees
- factors influencing
- exhaustive search
- benchmark datasets
- significant improvement
- neural network
- empirical studies
- prediction accuracy
- high accuracy
- sensor networks
- machine learning methods
- missing values
- multi sensor
- factors affecting