Errors Detection and Correction in Large Scale Data Collecting

@inproceedings{Bruni2001ErrorsDA,
  title={Errors Detection and Correction in Large Scale Data Collecting},
  author={Renato Bruni and Antonio Sassano},
  booktitle={IDA},
  year={2001}
}
The paper is concerned with the problem of automatic detection and correction of inconsistent or out of range data in a general process of statistical data collecting. Under such circumstances, errors are usually detected by formulating a set of rules which the data records must respect in order to be declared correct. As a first relevant point, the set of rules itself is checked for inconsistency or redundancy, by encoding it into a propositional logic formula, and solving a sequence of… CONTINUE READING
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