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  Published Paper Details:

  Paper Title

FREQUENT ITEMSETS MINING WITH PRIVACY OVER LARGE SCALE DATA

  Authors

  Ch VinodKumar,  Dr. M Arathi

  Keywords

Mining , TKU algorithm , Top-k objects

  Abstract


Mining assets with varying privacy mean mining problems are all commonly supported beyond the scope provided in the given database, with the impediment that mineral effects should not violate the privacy of any single transaction. Data Mining plays a vital role in gaining an understanding of this big data. Similar solutions to this problem cannot properly balance the functionality, privacy and use of data over large scale data. this model big data is divided into smaller parts and then the data algorithms will be used.To protect the sensitive data that is proposed the algorithm uses the validation process and finally uses the TKU algorithm to retrieve the remaining Top-k objects.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2011327

  Paper ID - 201019

  Page Number(s) - 2830-2839

  Pubished in - Volume 8 | Issue 11 | November 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Ch VinodKumar,  Dr. M Arathi,   "FREQUENT ITEMSETS MINING WITH PRIVACY OVER LARGE SCALE DATA", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 11, pp.2830-2839, November 2020, Available at :http://www.ijcrt.org/papers/IJCRT2011327.pdf

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ISSN: 2320-2882
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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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