High-Utility Geo-referenced Frequent Pattern Mining
High utility georeferenced frequent pattern mining involves the discovery of spatial patterns in georeferenced datasets, where these patterns represent combinations of spatially distributed items or events that occur frequently and are associated with high utility values. These patterns are characterized by their high utility, reflecting their importance or usefulness in the context of the application domain.
Applications: Location-Based Services (LBS), Urban Planning and Development, Environmental Monitoring.