Publication | Open Access
On the estimation of the number of desired records with respect to a given query
34
Citations
9
References
1978
Year
Relational QueriesDesired RecordsEngineeringInformation RetrievalData ScienceData Mining“ Length ”Sampling (Statistics)Statistical InferenceComputer ScienceApproximate Query AnsweringDistributed Query ProcessingStatisticsSimilarity SearchQuery Optimization
The importance of the estimation of the number of desired records for a given query is outlined. Two algorithms for the estimation in the “closest neighbors problem” are presented. The numbers of operations of the algorithms are Ο ( ml 2 ) and Ο ( ml ), where m is the number of clusters and l is the “length” of the query.
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