Split-Match-Aggregate (SMA) algorithm: integrating sidewalk data with transportation network data in GIS.
Bumjoon KangJason Y. ScullyOrion StewartPhilip M. HurvitzAnne V. MoudonPublished in: Int. J. Geogr. Inf. Sci. (2015)
Keyphrases
- input data
- data sets
- dynamic programming
- noisy data
- learning algorithm
- optimal solution
- data collection
- training data
- detection algorithm
- preprocessing
- k means
- cost function
- spatial data
- computational complexity
- transportation problem
- np hard
- data reduction
- dimensional data
- worst case
- original data
- synthetic data
- matching algorithm
- data distribution
- spectral clustering
- data quality
- gis data
- synthetic datasets
- clustering method
- optimization algorithm
- particle swarm optimization
- data processing
- simulated annealing
- image data
- knowledge discovery
- probabilistic model
- computational cost
- xml documents
- data analysis
- objective function
- neural network