Author : Ankur narendrabhai shah
Keyword : Privacy, k-means clustering, precision, recall, dct
Subject : Engineering research
Article Type : Review article
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Abstract : Privacy preserving allows sharing of privacy sensitive data for analysis purposes so it is very popular technique. so, people have ready to share their data. In recent years, privacy preserving data mining is an important one because wide availability of data is there. It is used for protecting the privacy of the critical and sensitive data and obtains more accurate results of data mining. The random noise is added to the original data in privacy preserving data Mining (PPDM) approach, which is used to publish the accurate information about original data. The main objective of privacy preserving data mining is to develop algorithms for modifying the original data and securing the information to be misused, so that the private data and private knowledge remain as it is after mining process. This topic is used to reiterate several privacy preserving data mining technologies to protect sensitive information’s privacy and obtaining data clustering with minimum information loss for multiplicative attributes in dataset.
Article by : Ankur N Shah
Article add date : 2020-12-01
How to cite : Ankur narendrabhai shah. (2020-December-01). Overview of privacy preserving techniques and data accuracy. retrieved from https://www.openacessjournal.com/abstract/385