Automated Data Cleaning Via Logic
Connor Robinson-Arnull (University of Canterbury)
LOGIC AND COMPUTATION SEMINAR Summer scholar projectsDATE: 2012-01-24
TIME: 16:00:00 - 16:30:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
Data is usually collected as tables, but such tables often contain many errors due to mistyping or the misunderstanding of questions. It has been shown that one method for correcting these errors, the Fellegi-Holt method, can be reduced to propositional resolution. So, the problem of data correction becomes a problem in automated reasoning. In this talk, I will describe how Fellegi-Holt can be given this logical treatment and consider whether the resolution based approach to data correction is more efficient than traditional methods.
