Abstract: Systems and methods for identifying patterns in data including determining a set of first attributes for a first dataset corresponding to a plurality of vertices, performing a first join operation based on the set of first attributes, classifying the first dataset to a collection of buckets based on the set of first attributes, each respective bucket including one or more vertices of the plurality of vertices, determining, for a respective bucket, a set of second attributes, performing a second join operation on the set of second attributes to generate a second dataset, and determining a cluster based on applying a first threshold to the second dataset, the cluster including one or more respective vertices in the second dataset exceeding the first threshold. The first threshold corresponding to a minimum number of vertices within a distance parameter of a given vertex.