Understanding the influence of noise, sampling density and data distribution on spatial prediction quality through the use of simulated data.
Dragoljub PokrajacZoran ObradovicTim FiezPublished in: ESM (2000)
Keyphrases
- data distribution
- index structure
- data streams
- spatial coordinates
- concept drift
- data points
- high dimensional data
- arbitrary shape
- spatial information
- noise model
- training instances
- distributed data
- data skew
- spatial data
- sampled data
- computer vision
- communication cost
- streaming data
- decision boundary
- r tree
- median filter
- random sampling
- database
- data analysis
- pattern recognition
- similarity measure
- machine learning