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  Published Paper Details:

  Paper Title

NORMALIZATION OF DUPLICATE RECORDS FROM MULTIPLE SOURCES

  Authors

  KARRI THANUSHA DEVI,  V.SARALA

  Keywords

NORMALIZATION OF DUPLICATE RECORDS FROM MULTIPLE SOURCES

  Abstract


Data consolidation is a challenging issue in data integration. The usefulness of data increases when it is linked and fused with other data from numerous (Web) sources. The promise of Big Data depends upon addressing several big data integration challenges while linking large amount of data into single file. There must be a lot of work for this data consolidation to achieve the normalized data. We refer to this task as record normalization. Such a record representation, coined normalized record, is important for both front-end and back-end applications. In this proposed application, we mainly try to normalize the records and try to find out the duplicate record attributes and then try to normalize that duplicate files while are present in database. We conducted extensive empirical studies with all the proposed methods. We indicate the weaknesses and strengths of each of them and recommend the ones to be used in practice.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT21A6109

  Paper ID - 211075

  Page Number(s) - k224-k236

  Pubished in - Volume 9 | Issue 5 | May 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  KARRI THANUSHA DEVI,  V.SARALA,   "NORMALIZATION OF DUPLICATE RECORDS FROM MULTIPLE SOURCES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.k224-k236, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT21A6109.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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