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Using positional sequence patterns to estimate the selectivity of SQL LIKE queries

Expert Systems with Applications(2021)

Cited 3|Views17
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Abstract
•We propose a new type of sequence pattern (i.e., positional sequence patterns).•We introduce information content-based elimination of some patterns.•We propose a slider-based partial pattern matching scheme.•P-SPH decreases the error rate of selectivity estimations up to 20%.
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Key words
Selectivity estimation,Histograms,Data management,Sequence pattern mining,Information content
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