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IJML 2012 Vol.2(5): 614-617
doi: 10.7763/IJMLC.2012.V2.200

The Review of Fields Similarity Estimation Methods

Mahsa Sabbagh Nobarian2 , Mohammad Reza Feizi Derakhshi1

  • 1Department of Computer, University of Tabriz, Tabriz, Iran
  • 2Department of Computer, Islamic Azad University, Shabestar Branch, Shabestar, Iran

Abstract

Accuracy and consistency are the most important factors in any databases but increasing size of data has become a great challenge in this area. Detecting duplicate records is an important and very difficult process in huge databases containing millions of records. Field matching is a major process for duplicated record detection. In this paper, an attempt is made to provide a brief survey of field matching techniques and their efficiency.

Keywords

  • Duplicate detection
  • character based similarity metrics
  • edit distance
  • Jaro distance
  • Q-Grams
200-L208

How to Cite

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Mahsa Sabbagh Nobarian and Mohammad Reza Feizi Derakhshi, "The Review of Fields Similarity Estimation Methods," International Journal of Machine Learning, vol. 2, no. 5, pp. 614-617, 2012. https://doi.org/10.7763/IJMLC.2012.V2.200

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD