Data error detection method, apparatus, software, and medium
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United States of America Patent
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Issued Date -
Apr 22, 2004
app pub date -
Aug 12, 2002
filing date -
Aug 15, 2001
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
The aim of this invention is to provide a fast, highly efficient, and highly accurate data error detection method for a database that includes at least two types of data and in which one type of data can be classified by another type of data. The classification in the database is regarded as a class in a neural network. The original classification problem is divided into smaller two-class subproblems to provide a number of modules, and calculation is made to check whether or not each of the said module converges in the learning process in the neural network. If a module does not converge, the module is regarded as having pattern classification errors and is then extracted.
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