Utility of Considering Multiple Alternative Rectifications in Data Cleaning

Utility of Considering Multiple Alternative Rectifications in Data Cleaning

abstract: Most data cleaning systems aim to go from a given deterministic dirty database to another deterministic but clean database. Such an enterprise pre–supposes that it is in fact possible for the cleaning process to uniquely recover the clean versions of each dirty data tuple. This i...

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Bibliographic Details
Other Authors: Rihan, Preet Inder Singh (Author)
Format: Dissertation
Language:English
Published: 2013
Subjects:
Computer science
False Positive
Precision
Probabilistic Database
Probabilistic data cleaning
Recall
True Posiitive
Online Access:http://hdl.handle.net/2286/R.I.18825

Internet

http://hdl.handle.net/2286/R.I.18825

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