Data Normalization Procedures on Decomposed MARC 21 Records

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Description

In this document, the authors present some aspects of data normalization of the decomposed records to improve the results of analysis. The data normalization processes use pattern-matching techniques to eliminate and/or generalize anomalous characters and terms. Since the unit of analysis in preparing the test dataset of 400,000 MARC 21 records is a "word," there was a need for data normalization to provide reliability in the subsequent analysis.

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5 p.

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Kim, Ed & Moen, William E. October 25, 2001.

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This text is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Information to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 86 times . More information about this text can be viewed below.

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  • Kim, Ed University of North Texas; Z-Interop Research Assistant
  • Moen, William E. University of North Texas; Principal Investigator

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  • Main Title: Data Normalization Procedures on Decomposed MARC 21 Records
  • Series Title: Z-Interop

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Description

In this document, the authors present some aspects of data normalization of the decomposed records to improve the results of analysis. The data normalization processes use pattern-matching techniques to eliminate and/or generalize anomalous characters and terms. Since the unit of analysis in preparing the test dataset of 400,000 MARC 21 records is a "word," there was a need for data normalization to provide reliability in the subsequent analysis.

Physical Description

5 p.

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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Creation Date

  • October 25, 2001

Added to The UNT Digital Library

  • Oct. 25, 2012, 2:42 p.m.

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  • March 21, 2013, 2:01 p.m.

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Kim, Ed & Moen, William E. Data Normalization Procedures on Decomposed MARC 21 Records, text, October 25, 2001; (digital.library.unt.edu/ark:/67531/metadc111005/: accessed July 21, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.