Geodatabase and spatial data mining
Spatial data management
Spatial data mining is the process of discovering interesting and useful patterns from large spatial datasets.
- The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks, etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of discovering usable knowledge about movement behaviour, which fosters novel applications and services.
- Extracting patterns from spatial datasets is more difficult than extracting patterns from traditional numeric and categorical data due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation.
- Study of trajectory pattern mining methods.
- Define an algorithm to extract frequent trajectories from a GPS log dataset to detect the most followed sequences of points of interest.