OICPM: An Interactive System to Find Interesting Co-location Patterns Using Ontologies

摘要

In spatial data mining, the usefulness of co-location patterns is strongly limited by the huge amount of delivered co-location patterns. Although many methods have been proposed to reduce the number of co-location patterns, most of them do not guarantee that the extracted co-location patterns are interesting for the user for being generally based on statistical information. This demonstration presents OICPM, an interactive system to discover interesting co-location patterns based on ontologies. With OICPM, the user can find his/her real interesting ones from a massive amount of co-location patterns efficiently within only a few rounds of selection, and the mined interesting co-location patterns are filtered in order for better decision.