Optimized full-spectrum loglog-based cardinality estimation
AssigneeVerizon Media Inc.
InventorsJason Jinshui Qin, Denys Kim, Yumei Tung
Life of this patent
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AssigneeVerizon Media Inc.
InventorsJason Jinshui Qin, Denys Kim, Yumei Tung
Estimating the term…
Systems and methods are disclosed for optimizing full-spectrum cardinality approximations on big data utilizing an optimized LogLog counting technique. To accomplish the foregoing, a multiset of objects that each corresponds to one of a plurality of objects associated with a resource are obtained. A compound data object is populated at least in part with data that is derived based on generated hash values that correspond to each object in the obtained multiset. The populated compound data object is processed with a full-spectrum harmonic mean estimation operation that can accurately determine a cardinality estimate for the obtained multiset using less resources and time when compared to traditional techniques. The determination is further made without the need to employ linear counting or bias correction operations on low or high cardinalities. An estimated number of unique objects in the obtained multiset is determined as a result of the processing, and subsequently provided for display or further manipulation.
A computer-implemented method comprising:
A non-transitory computer storage medium storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising:
A computerized system comprising:
Dependencies are inferred from the claim text.