Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63410
Title: Noise Addition for Protecting Privacy in Data Mining
Contributor(s): Isam, Md Zahidul (author); Brankovic, Ljiljana  (author)orcid 
Publication Date: 2003-07
Handle Link: https://hdl.handle.net/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.

Publication Type: Conference Publication
Conference Details: EMAC 2003: The 6th Engineering Mathematics and Applications Conference (EMAC2003), Sydney, Australia, 7th - 11th July, 2003
Source of Publication: Proceedings of the 6th Engineering Mathematics and Applications Conference (EMAC2003), p. 85-90
Publisher: Engineering Mathematics Group, ANZIAM
Place of Publication: Australia
Fields of Research (FoR) 2020: 460402 Data and information privacy
Socio-Economic Objective (SEO) 2020: 220405 Cybersecurity
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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