Intelligent outlier data detection
Abstract:
Transaction data is received from a remote client computing device that includes user-generated entries in each of a plurality of fields. Thereafter, it can be determined, using an outlier detection algorithm, that values for one or more of the entries is an outlier. Data can then be provided (e.g., displayed in a visual display, loaded into memory, stored in physical persistence, transmitted to a remote computing system, etc.). The outlier algorithm can be based on a number of similar records g, a number of distinct values d(g) in the similar records, and a number of same values s in the similar records. Related apparatus, systems, techniques and articles are also described.
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