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) relies on the maxmin criterion which is a method in decision theory for maximizing the minimum gain and (b) builds upon the border theory of frequent itemsets. © 2006 IEEE
AbstractData mining is the process of extracting desirable knowledge or interesting patterns from ex...
[[abstract]]Recent development in Privacy-Preserving Data Mining has proposed many efficient and pra...
[[abstract]]Data mining techniques have been developed in many applications. However, it also causes...
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive kn...
The rapid growth of transactional data brought, soon enough, into attention the need of its further ...
Association Rule Mining plays a major role in current research. This classical algorithm extracts fr...
Data sanitization is a process that is used to promote the sharing of transactional databases among ...
A problem that has been the focus of much recent research in privacy preserving data-mining is the f...
Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2010Includes bibliograp...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
Data mining provides the opportunity to extract useful information from large databases. Various tec...
Privacy preserving data mining has become the focus of attention of government statistical agencies ...
Association rule mining is a well-known data mining technique used for extracting hidden correlation...
[[abstract]]Data mining mechanisms have widely been applied in various businesses and manufacturing ...
Privacy preserving data mining is a continues way for to use data mining, without disclosing private...
AbstractData mining is the process of extracting desirable knowledge or interesting patterns from ex...
[[abstract]]Recent development in Privacy-Preserving Data Mining has proposed many efficient and pra...
[[abstract]]Data mining techniques have been developed in many applications. However, it also causes...
In this paper, we are proposing a new algorithmic approach for sanitizing raw data from sensitive kn...
The rapid growth of transactional data brought, soon enough, into attention the need of its further ...
Association Rule Mining plays a major role in current research. This classical algorithm extracts fr...
Data sanitization is a process that is used to promote the sharing of transactional databases among ...
A problem that has been the focus of much recent research in privacy preserving data-mining is the f...
Thesis (Master)--Izmir Institute of Technology, Computer Engineering, Izmir, 2010Includes bibliograp...
[[abstract]]Data mining is the process of extracting desirable knowledge or interesting patterns fro...
Data mining provides the opportunity to extract useful information from large databases. Various tec...
Privacy preserving data mining has become the focus of attention of government statistical agencies ...
Association rule mining is a well-known data mining technique used for extracting hidden correlation...
[[abstract]]Data mining mechanisms have widely been applied in various businesses and manufacturing ...
Privacy preserving data mining is a continues way for to use data mining, without disclosing private...
AbstractData mining is the process of extracting desirable knowledge or interesting patterns from ex...
[[abstract]]Recent development in Privacy-Preserving Data Mining has proposed many efficient and pra...
[[abstract]]Data mining techniques have been developed in many applications. However, it also causes...
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