DataBase and Data Mining Group

Spatial data management

Tutor

Description

Spatial data mining is the process of discovering interesting and useful patterns from large spatial datasets.

Challenge

• 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.

Activity

• 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.