An Adaptive Data Distribution Through Tree Rules in Frequent Pattern Mining

Authors

  • Avinash Sharma  Research Scholar Computer Science Engineering, Mewar University Chittorgarh Rajasthan India
  • Dr. Sarvottam Dixit  Computer Science Engineering Professor Mewar University Chittorgarh Rajasthan India
  • Dr. N. K. Tiwari  Director Patel Group of Institution Bhopal, Madhya Pradesh. India

DOI:

https://doi.org//10.32628/CSEIT183894

Keywords:

Distributed Data, Data Mining, Encryption, Effective Pruning, Substitution.

Abstract

Information sharing among the associations is a general development in a couple of zones like business headway and exhibiting. As bit of the touchy principles that ought to be kept private may be uncovered and such disclosure of delicate examples may impacts the advantages of the association that have the data. Subsequently the standards which are delicate must be secured before sharing the data. In this paper to give secure information sharing delicate guidelines are bothered first which was found by incessant example tree. Here touchy arrangement of principles are bothered by substitution. This kind of substitution diminishes the hazard and increment the utility of the dataset when contrasted with different techniques. Examination is done on certifiable dataset. Results shows that proposed work is better as appear differently in relation to various past strategies on the introduce of evaluation parameters.

References

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Published

2018-12-30

Issue

Section

Research Articles

How to Cite

[1]
Avinash Sharma, Dr. Sarvottam Dixit, Dr. N. K. Tiwari, " An Adaptive Data Distribution Through Tree Rules in Frequent Pattern Mining, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 8, pp.300-305, November-December-2018. Available at doi : https://doi.org/10.32628/CSEIT183894