Noise Addition for Protecting Privacy in Data Mining

Title
Noise Addition for Protecting Privacy in Data Mining
Publication Date
2003-07
Author(s)
Isam, Md Zahidul
Brankovic, Ljiljana
( author )
OrcID: https://orcid.org/0000-0002-5056-4627
Email: lbrankov@une.edu.au
UNE Id une-id:lbrankov
Editor
Editor(s): R L May and W F Blyth
Type of document
Conference Publication
Language
en
Entity Type
Publication
Publisher
Engineering Mathematics Group, ANZIAM
Place of publication
Australia
UNE publication id
une:1959.11/63410
Abstract

In recent years advances in technology facilitated collection and storage of vast amount of data. Many organizations, including large and small businesses, and hospitals and government bodies rely on data for day-to-day operation as well as marketing, planning and research purposes. Examples include criminal records used by law enforcement and national security agencies, medical records used for treatment and research purposes and shopping records used for marketing and enhancing business strategies. The benefits of the information extracted from such data can hardly be overestimated. For example, we are witnessing huge progress made in the human genetic project bringing new promises of previously unimaginable treatments such as gene therapy.

Link
Citation
Proceedings of the 6th Engineering Mathematics and Applications Conference (EMAC2003), p. 85-90
ISBN
1863655336
Start page
85
End page
90

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