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- W4247882008 abstract "This chapter focuses on the mixed-integer programming (MIP) approach. The advantage of a MIP approach is that it allows one to leverage existing, proven implementations of MIP solvers, either commercial or open source. The chapter describes the usage of the errorlocate package. The errorlocate package offers a small set of functions that allows users to localize errors in records that are to be validated by a set of linear, categorical, or conditional validation rules using a fast implementation of the Fellegi-Holt paradigm. The chapter also describes the translation of the error localization problem into a MIP-problem for the linear, categorical, and conditional validation rules. It provides some background that can aid in choosing a set of reliability weights or to make a error localization problem more tractable by showing how certain rules can be simplified. The chapter explians the numerical stability of the implemented algorithm and give suggestions on handling potential issues." @default.
- W4247882008 created "2022-05-12" @default.
- W4247882008 date "2018-02-23" @default.
- W4247882008 modified "2023-10-17" @default.
- W4247882008 title "Localizing Errors in Data Records" @default.
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- W4247882008 doi "https://doi.org/10.1002/9781118897126.ch7" @default.
- W4247882008 hasPublicationYear "2018" @default.
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