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

In: Data Engineering

Author

Listed:
  • Cihan Varol

    (University of Arkansas at Little Rock)

  • Coskun Bayrak

    (University of Arkansas at Little Rock)

  • Rick Wagner

    (Acxiom Corporation)

  • Dana Goff

    (Acxiom Corporation)

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.

Suggested Citation

  • Cihan Varol & Coskun Bayrak & Rick Wagner & Dana Goff, 2009. "Application of the Near Miss Strategy and Edit Distance to Handle Dirty Data," International Series in Operations Research & Management Science, in: Yupo Chan & John Talburt & Terry M. Talley (ed.), Data Engineering, chapter 5, pages 91-101, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-0176-7_5
    DOI: 10.1007/978-1-4419-0176-7_5
    as

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