The Use of Spatial Interpolation to Improve the Quality of Corn Silage Data in Case of Presence of Extreme or Missing Values.
Thomas KoutsosGeorgios MenexesIlias EleftherohorinosPublished in: ISPRS Int. J. Geo Inf. (2022)
Keyphrases
- missing values
- missing data
- incomplete data
- high quality
- data sets
- database
- training data
- missing information
- data imputation
- data quality
- high dimensional data
- data analysis
- input data
- attribute values
- knowledge discovery
- original data
- pattern recognition
- spatial interpolation
- nearest neighbor
- data points
- decision trees