we study the data mining understand the need for analyses of large, complex, information rich data sets. Privacy is mining of distributed data has numerous applications. The privacy preserving data mining has been developed, understanding the role of privacy in data mining is difficult. Many algorithms and approaches that have been developed theoretically, but practically it is difficult. In this paper specify the overview the privacy preserving in data mining. This paper mainly focuses on the literature survey of the data mining privacy. Here many speakers tell to their own ideas, these ideas to develop new standards and privacy algorithms in data mining.
%0 Journal Article
%1 noauthororeditor
%A Bonathu, Ramana
%A Devaki,
%A Reddy, K. Ramalinga
%A Meghavath, Dhasaratham
%A Vijaya, G.
%D 2014
%E Kumar, Dr. Shiv
%J International Journal of Innovative Science and Modern Engineering (IJISME)
%K Data mining preserving privacy
%N 4
%P 4-6
%T A Report of the Privacy in Data Mining: Speakers Survey
%U https://www.ijisme.org/wp-content/uploads/papers/v2i4/D0608032414.pdf
%V 2
%X we study the data mining understand the need for analyses of large, complex, information rich data sets. Privacy is mining of distributed data has numerous applications. The privacy preserving data mining has been developed, understanding the role of privacy in data mining is difficult. Many algorithms and approaches that have been developed theoretically, but practically it is difficult. In this paper specify the overview the privacy preserving in data mining. This paper mainly focuses on the literature survey of the data mining privacy. Here many speakers tell to their own ideas, these ideas to develop new standards and privacy algorithms in data mining.
@article{noauthororeditor,
abstract = {we study the data mining understand the need for analyses of large, complex, information rich data sets. Privacy is mining of distributed data has numerous applications. The privacy preserving data mining has been developed, understanding the role of privacy in data mining is difficult. Many algorithms and approaches that have been developed theoretically, but practically it is difficult. In this paper specify the overview the privacy preserving in data mining. This paper mainly focuses on the literature survey of the data mining privacy. Here many speakers tell to their own ideas, these ideas to develop new standards and privacy algorithms in data mining.},
added-at = {2021-09-21T12:09:47.000+0200},
author = {Bonathu, Ramana and Devaki and Reddy, K. Ramalinga and Meghavath, Dhasaratham and Vijaya, G.},
biburl = {https://www.bibsonomy.org/bibtex/2bfce029f7a31426f1c8fa74bad6657e7/ijisme_beiesp},
editor = {Kumar, Dr. Shiv},
interhash = {0ac35744c01efb1b14eca0604e2e485a},
intrahash = {bfce029f7a31426f1c8fa74bad6657e7},
issn = {2319-6386},
journal = {International Journal of Innovative Science and Modern Engineering (IJISME)},
keywords = {Data mining preserving privacy},
language = {En},
month = {March},
number = 4,
pages = {4-6},
timestamp = {2021-09-21T12:09:47.000+0200},
title = {A Report of the Privacy in Data Mining: Speakers Survey},
url = {https://www.ijisme.org/wp-content/uploads/papers/v2i4/D0608032414.pdf},
volume = 2,
year = 2014
}