Privacy-Preserving Data Mining Algorithm Quantum Ant Colony Optimization

2013 ◽  
Vol 7 (3) ◽  
pp. 1129-1135 ◽  
Author(s):  
Wu Jue ◽  
Yang Lei ◽  
Peng Lingxi ◽  
Liu Feng
Keyword(s):  
Data Mining ◽  
Ant Colony Optimization ◽  
Privacy Preserving ◽  
Ant Colony ◽  
Data Mining Algorithm ◽  
Privacy Preserving Data Mining ◽  
Mining Algorithm

scholarly journals A NOVEL PRIVACY PRESERVING DATA MINING ALGORITHM

2011 ◽  
Vol 11 (ASAT CONFERENCE) ◽  
pp. 1-17
Author(s):  
Fahmy Aly ◽  
Fakhry Medhat ◽  
M. Hanafy ◽  
EI-Zeweidy Aly
Keyword(s):  
Data Mining ◽  
Privacy Preserving ◽  
Data Mining Algorithm ◽  
Privacy Preserving Data Mining ◽  
Mining Algorithm

Secure Computation for Privacy Preserving Data Mining

2011 ◽  
pp. 1747-1752 ◽  
Author(s):  
Yehuda Lindell
Keyword(s):  
Data Mining ◽  
Privacy Preserving ◽  
Secure Computation ◽  
Data Mining Algorithm ◽  
Privacy Preserving Data Mining ◽  
Public And Private ◽  
The Public ◽  
Use Of Data ◽  
To Come ◽  
Mining Tools

The increasing use of data mining tools in both the public and private sectors raises concerns regarding the potentially sensitive nature of much of the data being mined. The utility to be gained from widespread data mining seems to come into direct conflict with an individual’s need and right to privacy. Privacy preserving data mining solutions achieve the somewhat paradoxical property of enabling a data mining algorithm to use data without ever actually “seeing” it. Thus, the benefits of data mining can be enjoyed, without compromising the privacy of concerned individuals.

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