Patent Document ID: 8818892
Application ID: 13968213
Patent Flag: 1

Claim One:
1. A computer-implemented method for prioritizing a plurality of data entity clusters, the method comprising: communicating with one or more electronic data stores storing a plurality of data entities and respective data entity attributes, the one or more electronic data stores in communication with one or more hardware computer processors, the one or more hardware computer processors configured with specific computer executable instructions, and the plurality of data entities related to financial data and including at least one of: an account data entity, a transaction data entity, a customer data entity, or a phone number data entity; generating, by the one or more hardware computer processors, a plurality of data entity clusters that each store a collection of related data entities, each of the data entity clusters generated by: identifying and adding a seed data entity to the data entity cluster; and determining and adding to the data entity cluster, based on a cluster strategy configured to identify related data entities for detection of possible fraudulent financial activity, one or more additional data entities related to the seed data entity; identifying, by the one or more hardware computer processors, a scoring strategy for prioritizing the plurality of data entity clusters; for each data entity cluster: evaluating, by the one or more hardware computer processors and based on the scoring strategy, the data entity cluster; and assigning, by the one or more hardware computer processors and based on the evaluation, a score to the data entity cluster; ranking the plurality of data entity clusters according to the respective assigned scores; identifying, by the one or more hardware computer processors, a second scoring strategy for prioritizing the plurality of data entity clusters; for each data entity cluster: evaluating, by the one or more hardware computer processors, one or more attributes of the collection of related data entities stored by the data entity cluster according to the second scoring strategy; and assigning, by the one or more hardware computer processors and based on the evaluation of the one or more attributes, a second score to the data entity cluster; re-ranking the plurality of data entity clusters according to the respective assigned second scores; and presenting, on an electronic display viewable by a user, a listing and/or summary of one or more of the plurality of data entity clusters according to the ranking and/or re- ranking, wherein the plurality of ranked and/or re-ranked data entity clusters are useable by an analyst to determine various data entities related to each other and to possible fraudulent financial activity.