• E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

  • E-ISSN:

    2454-9584

    P-ISSN

    2454-8111

    Impact Factor 2020

    5.051

    Impact Factor 2021

    5.610

INTERNATIONAL JOURNAL OF INVENTIONS IN ENGINEERING & SCIENCE TECHNOLOGY

International Peer Reviewed (Refereed), Open Access Research Journal
(By Aryavart International University, India)

Paper Details

ENHANCING THE EFFECTIVENESS OF PRIVACY PRESERVING DATA MINING (PPDM) BY USING CORRELATION BASED TRANSFORMATION STRATEGY

Aryan Grover

47 - 54 Vol. 4, Jan-Dec, 2018
Receiving Date: 2018-04-26;    Acceptance Date: 2018-05-25;    Publication Date: 2018-05-29
Download PDF

Abstract

Preservation of security is a huge part of information mining. The primary goal of PPDM is to cover up or give security to certain touchy data with the goal that they can be shielded from unapproved gatherings or unauthorised. Though security is accomplished by concealing the touchy or private information, it will influence the information mining calculations in information extraction, so a compelling strategy or methodology is required to give security to the information and at the same time ensuring the nature of information mining calculations. Rather than expelling or scrambling touchy or private information, we utilize information change methodologies that keep the factual, semantic and heuristic nature of information while securing the delicate or private information. In this paper, we considered the specialized possibility of acknowledging Privacy-Preserving Data Mining. In the proposed work, Correlation Based Transformation Strategy for Privacy Preserving Data Mining is utilized for ordinal information. We apply the technique on a few datasets to be specific soybean, Breast Cancer, Nursery dataset and Car dataset. We classify the final products applying the proposed system on both the first and the changed dataset and watch connection distinction, Information Entropy and Classification Accuracy with various AI calculations and Clustering Quality. As an improvement, the proposed work can be stretched out by utilization of vector stamping methods where these strategies help Cheap UK fake rolex watches with Swiss movements are worth having.
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