Detecting attribute change from trip data

A method comprising:

• accessing trip data associated with a point of interest (POI);
• generating, by a processor and using a processor-implemented clustering algorithm, a first spatial cluster and a second spatial cluster using coordinates corresponding to the POI indicated in the trip data;
• identifying a centroid for the first spatial cluster and a centroid for the second spatial cluster;
• determining that a difference in distance between the centroid for the first spatial cluster and the centroid for the second spatial cluster meets or transgresses a centroid distance threshold;
• and
• in response to the determining, updating a database to indicate a new attribute for the POI, the new attribute corresponding to an attribute associated with either the first spatial cluster or the second spatial cluster.

A machine-storage medium storing instructions that, when executed by one or more processors of a machine, cause the one or more processors to perform operations comprising:

• accessing a plurality of trip logs associated with a point of interest (POI);
• generating, using a processor-implemented clustering algorithm, a first spatial cluster and a second spatial cluster using coordinates corresponding to the POI indicated in the trip logs;
• identifying a centroid for the first spatial cluster and a centroid for the second spatial cluster;
• determining that a difference in distance between the centroid for the first spatial cluster and the centroid for the second spatial cluster meets or transgresses a centroid distance threshold;
• and
• in response to the determining, updating a database to indicate a new address for the POI, the new address corresponding to a location associated with either the first spatial cluster or the second spatial cluster.