Geodatabase and spatial data mining

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Spatial data management


Giulia Bruno


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.