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Approximate substring selectivity estimation

Published • Mar 24, 2009
NobleIDNI3P02W99R18S48
Authors:
Hongrae Lee
,
Raymond T. Ng
,
Kyuseok Shim

Abstract

We study the problem of estimating selectivity of approximate substring queries. Its importance in databases is ever increasing as more and more data are input by users and are integrated with many typographical errors and different spelling conventions. To begin with, we consider edit distance for ...

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