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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