Data mining is the process of extracting the previously unknown patterns from large amount of data. Privacy preserving data mining is one of the research areas in data mining. The main

As large repositories of data contain confidential rules that must be protected before published, association rule hiding becomes one of important privacy preserving data mining problems. Compared with traditional data modification methods, data reconstruction is a new promising, but not sufficiently investigated method, which is inspired by the inverse frequent set mining problem. In my PhD pe...

The security of the large database that contains certain crucial information, it will become a serious issue when sharing data to the network against unauthorized access. Association rules hiding algorithms get strong and efficient performance for protecting confidential and crucial data. The objective of the proposed Association rule hiding algorithm for privacy preserving data mining is to hi...

In recent years, data mining is a popular analysis tool to extract knowledge from collection of large amount of data. One of the great challenges of data mining is finding hidden patterns without revealing sensitive information. Privacy preservation data mining (PPDM) is answer to such challenges. It is a major research area for protecting sensitive data or knowledge while data mining technique...

Association rule mining is used in various applications. Also information systems may need to take privacy issues into account when releasing data to outside parties. Due to recent advances, releasing data to other parties may be done in a streaming fashion. In this paper, we introduce a new system in which association rule mining over data streams and association rule hiding for traditional da...

Association rule mining is a powerful model of data mining used for finding hidden patterns in large databases. One of the great challenges of data mining is to protect the confidentiality of sensitive patterns when releasing database to third parties. Association rule hiding algorithms sanitize database such that certain sensitive association rules cannot be discovered through association rule...

Data and knowledge hiding are two research directions that investigate how the privacy of raw data, or information, can be maintained either before or after the course of mining the data. By focusing on the knowledge hiding thread, we present a taxonomy and a survey of recent approaches that have been applied to the association rule hiding problem. Association rule hiding refers to the process ...

<div>Association rule mining is a well-known data technique used for extracting hidden correlations between items in large databases. In the majority of situations, results contain sensitive information about individuals and publishing such will violate individual secrecy. The challenge association to preserve confidentiality rules when releasing database external parties. hiding conceals...