SYSTEMS AND METHODS FOR DETECTING AND SCORING ANOMALIES
First Claim
1. A computer-implemented method for analyzing a plurality of digital interactions, the method comprising acts of:
- (A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions;
(B) dividing the plurality of values into a plurality of buckets;
(C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket;
(D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and
(E) determining whether the attribute is anomalous based at least in part on a result of the act (D).
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Accused Products
Abstract
Systems and methods for detecting and scoring anomalies. In some embodiments, a method is provided, comprising acts of: (A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based at least in part on a result of the act (D).
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Citations
30 Claims
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1. A computer-implemented method for analyzing a plurality of digital interactions, the method comprising acts of:
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(A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based at least in part on a result of the act (D). - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system comprising at least one processor and at least one computer-readable storage medium having stored thereon instructions which, when executed, program the at least one processor to perform a method for analyzing a plurality of digital interactions, the method comprising acts of:
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(A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based at least in part on a result of the act (D). - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. At least one computer-readable storage medium having stored thereon instructions which, when executed, program at least one processor to perform a method for analyzing a plurality of digital interactions, the method comprising acts of:
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(A) identifying a plurality of values of an attribute, each value of the plurality of values corresponding respectively to a digital interaction of the plurality of digital interactions; (B) dividing the plurality of values into a plurality of buckets; (C) for at least one bucket of the plurality of buckets, determining a count of values from the plurality of values that fall within the at least one bucket; (D) comparing the count of values from the plurality of values that fall within the at least one bucket against historical information regarding the attribute; and (E) determining whether the attribute is anomalous based at least in part on a result of the act (D). - View Dependent Claims (22, 23, 24, 25, 26, 27, 28, 29, 30)
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Specification