Capital One Services, LLC

Camelot UK Bidco Limited

Jacob Sisk

Evan Bloom

Craig Gimby

Chris Moradi

Xin Sun

James Pringle

Nina Chang

Systems and methods are disclosed for identifying resources responsible for events. In one embodiment, a method may include determining a number of unique actors in a plurality of actors that have accessed the resource. The method may further include identifying from the plurality of actors a set of affected actors that has been affected by an event and identifying from the set of affected actors a subset of resource-affected actors that accessed the resource prior to being affected by the event. The method may further include determining a number of resource-affected actors in the subset of resource-affected actors and, based on the number of unique actors and the number of resource-affected actors, determining an event score for the resource. The event score may be a lower bound of a confidence interval of a binomial proportion of the number of resource-affected actors to the number of unique actors.

Systems and methods for detecting resources responsible for events

Exemplary embodiments of the present disclosure provide for cleansing data generated by one or more servers in response to database interactions resulting from an automated software robot interacting with the one or more servers via a telecommunications network. Log entries in usage logs corresponding to events during a session can be analyzed to determine relationships between events and the usage logs can be classified based on the relationships as either corresponding to human behavior or automated software robot behavior. Usage logs corresponding to automated software robot behavior can be removed from further analysis.

Systems and methods for cleansing automated robotic traffic from sets of usage logs

System and methods for cleansing automated robotic traffic from sets of usage logs

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Orinda, CA, United States of America

Jacob Sisk