Transcription of Error Correction for Massive Data Sets - uniroma1.it
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Error Correction for Massive Data Sets - uniroma1.it
Error Correction for Massive data Sets Renato BruniUniversit`adiRoma LaSapienza M. Buonarroti 12, Roma, Italy, 16, 2003 AbstractThe paper is concerned with the problem of automatic detection and cor-rection of errors into Massive data sets. As customary, erroneous datarecords are detected by formulating a set of rules. Such rules are hereencoded into linear inequalities. This allows to check the set of rulesfor inconsistencies and redundancies by using a polyhedral mathematicsapproach. Moreover, it allows to correct erroneous data records by in-troducing the minimum changes through an integer linear programmingapproach. Results of a particularization of the proposed procedure to areal-world case of census data Correction are : data Correction , Inconsistency localization, Massive IntroductionIn the past, for several fields, an automatic information processing have oftenbeen prevented by the scarcity of availabledata.
mathematical models of the problem is here presented. A similar but more lim-ited procedure, which uses only a propositional logic encoding, was described
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