Application of the Near Miss Strategy and Edit Distance to Handle Dirty Data

Cihan Varol, Coskun Bayrak, Rick Wagner and Dana Goff
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Cihan Varol: University of Arkansas at Little Rock
Coskun Bayrak: University of Arkansas at Little Rock
Rick Wagner: Acxiom Corporation
Dana Goff: Acxiom Corporation

Chapter 5 in Data Engineering, 2009, pp 91-101 from Springer

Abstract: Abstract In today’s information age, processing customer information in a standardized and accurate manner is known to be a difficult task. Data collection methods vary from source to source by format, volume, and media type. Therefore, it is advantageous to deploy customized data hygiene techniques to standardize the data for meaningfulness and usefulness based on the organization.

Keywords: Edit Distance; Optical Character Recognition; Spelling Error; Cognitive Error; Spelling Correction (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-1-4419-0176-7_5

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