Data Cleaning Methods

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Data Quality and Management Handwritten Text Recognition Techniques Machine Learning and Data Classification

Abstract

Data Cleaning methods are used for finding duplicates within a file or across sets of files. This overview provides background on the Fellegi-Sunter model of record linkage. The Fellegi-Sunter model provides an optimal theoretical classification rule. Fellegi and Sunter introduced methods for automatically estimating optimal parameters without training data that we extend to many real world situations. Keywords EM Algorithm, string comparator, unsupervised learning. 1.

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1969A Theory for Record Linkage 1999The State of Record Linkage and Current Research Problems 1959Automatic Linkage of Vital Records 2002Interactive deduplication using active learning 2003TAILOR: a record linkage toolbox 2001Automatic segmentation of text into structured records 1962Record linkage 2001Iterative Automated Record Linkage Using Mixture Models

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