Error Correction for Massive Data Sets - uniroma1.it
Error Correction for Massive data Sets Renato BruniUniversit`adiRoma LaSapienza M. Buonarroti 12, Roma, Italy, 16, 2003AbstractThe 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. Nowadays data have becomemore and more abundant, but the problem that frequently arises is that suchdata may containerrors.
Error Correction for Massive Data Sets∗ Renato Bruni Universit`adiRoma“LaSapienza”-D.I.S. Via M. Buonarroti 12, Roma, Italy, 00185. E-mail: bruni@dis.uniroma1.it
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