Add to ORKG[[abstract]]Current technology for association rules hiding mostly applies to data stored in a single transaction table. This work presents a novel algorithm for hiding sensitive association rules in data warehouses. A data warehouse is typically made up of multiple dimension tables and a fact table as in a star schema. Based on the strategies of reducing the confidence of sensitive association rule and without constructing the whole joined table, the proposed algorithm can effectively hide multi-relational association rules. Examples and analyses are given to demonstrate the efficacy of the approach
Data mining provides the opportunity to extract useful information from large databases. Various tec...
As extensive chronicles of information contain classified rules that must be protected before distri...
Data mining provides the opportunity to extract useful information from large databases. Various tec...
Current technology for association rules hiding mostly applies to data stored in a single transactio...
[[abstract]]Many approaches for preserving association rule privacy, such as association rule mining...
[[abstract]]The goal of this project is to develop a set of techniques that can hide association rul...
[[abstract]]Data mining techniques have been widely used in various applications. However, the misus...
Association rule mining is a powerful model of data mining used for finding hidden patterns in large...
Association rule hiding has been playing a vital role in sensitive knowledge preservation when shari...
Abstract—Large repositories of data contain sensitive information that must be protected against una...
Association rule mining is a well-known data mining technique used for extracting hidden correlation...
The rapid growth of transactional data brought, soon enough, into attention the need of its further ...
Privacy preservation data mining is novel research area where data mining algorithms are analyzed fo...
Data mining and hiding are the future research directions in the field of knowledge engineering. The...
[[abstract]]Data mining techniques have been developed in many applications. However, it also causes...
Data mining provides the opportunity to extract useful information from large databases. Various tec...
As extensive chronicles of information contain classified rules that must be protected before distri...
Data mining provides the opportunity to extract useful information from large databases. Various tec...
Current technology for association rules hiding mostly applies to data stored in a single transactio...
[[abstract]]Many approaches for preserving association rule privacy, such as association rule mining...
[[abstract]]The goal of this project is to develop a set of techniques that can hide association rul...
[[abstract]]Data mining techniques have been widely used in various applications. However, the misus...
Association rule mining is a powerful model of data mining used for finding hidden patterns in large...
Association rule hiding has been playing a vital role in sensitive knowledge preservation when shari...
Abstract—Large repositories of data contain sensitive information that must be protected against una...
Association rule mining is a well-known data mining technique used for extracting hidden correlation...
The rapid growth of transactional data brought, soon enough, into attention the need of its further ...
Privacy preservation data mining is novel research area where data mining algorithms are analyzed fo...
Data mining and hiding are the future research directions in the field of knowledge engineering. The...
[[abstract]]Data mining techniques have been developed in many applications. However, it also causes...
Data mining provides the opportunity to extract useful information from large databases. Various tec...
As extensive chronicles of information contain classified rules that must be protected before distri...
Data mining provides the opportunity to extract useful information from large databases. Various tec...