Geo-referenced Frequent Sequence Pattern mining

Geo-referenced frequent sequential pattern mining is a data mining technique focused on discovering patterns or sequences of events that frequently occur in geo-referenced time series data while preserving the spatial and temporal ordering information. It involves analyzing datasets where data instances are geo-referenced.

Applications: Transportation, Environmental Monitoring, Urban Planning or Geographical Phenomena.