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» Hiding Sensitive Patterns in Association Rules Mining
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ADC
2008
Springer
117views Database» more  ADC 2008»
13 years 11 months ago
Data Reduction Approach for Sensitive Association Classification Rule Hiding
Juggapong Natwichai, Xingzhi Sun, Xue Li
DKE
2008
124views more  DKE 2008»
13 years 4 months ago
A MaxMin approach for hiding frequent itemsets
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive knowledge in the context of mining of association rules. The new approach (a) rel...
George V. Moustakides, Vassilios S. Verykios
PAKDD
2004
ACM
121views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Secure Association Rule Sharing
Abstract. The sharing of association rules is often beneficial in industry, but requires privacy safeguards. One may decide to disclose only part of the knowledge and conceal stra...
Stanley R. M. Oliveira, Osmar R. Zaïane, Y&uu...
CORR
2010
Springer
214views Education» more  CORR 2010»
13 years 4 months ago
Hybrid Medical Image Classification Using Association Rule Mining with Decision Tree Algorithm
The main focus of image mining in the proposed method is concerned with the classification of brain tumor in the CT scan brain images. The major steps involved in the system are: p...
P. Rajendran, M. Madheswaran
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
13 years 8 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith