Count-distinct problem: Difference between revisions

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m Min/max sketches: authorlink
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.<ref>{{cite journal | last1=Cohen |author1-link=Edith Cohen| first1=Reuven | last2 = Katzir | first2 = Liran | last3=Yehezkel | first3=Aviv | year=2014| title=A Unified Scheme for Generalizing Cardinality Estimators to Sum Aggregation | journal=Information Processing Letters|doi=10.1016/j.ipl.2014.10.009 | volume=115 |issue=2| pages=336–342}}</ref>
For example, the weighted estimator proposed by Cohen et al.<ref name=edithCohen /> can be obtained when the continuous max sketches estimator is extended to solve the weighted problem.
In particular, the [[HyperLogLog]] algorithm <ref name=hyperloglog /> can be extended to solve the weighted problem. The extended [[HyperLogLog]] algorithm offers the best performance, in terms of statistical accuracy and memory usage, among all the other known algorithms for the weighted problem.
 
==See also==