The paper gives an overview of privacy preserving in association rule mining techniques. In this paper, all the present privacy preserving using association rule hiding techniques are discussed. This paper also proposes a classification hierarchy that sets the basis for analyzing the work which has been performed in this context. A detailed review of the work accomplished in this area is also g...

Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on databases is the disclosure of sensitive data by endangering security and privacy. Hiding the as...

Data mining is the process of extracting the useful information from the large amount of available data. Association rule mining is a popular tool for discovering useful associations from large amount of data. Once private data is released for mining, it is very difficult to prevent its misuse. Useful associations with hidden information or knowledge that are sensitive to the database owner cou...

Privacy preserving data mining (PPDM) is a novel research area to preserve privacy for sensitive knowledge from disclosure. Many of the researchers in this area have recently made effort to preserve privacy for sensitive knowledge in statistical database. In this paper, we present a detailed overview and classification of approaches which have been applied to knowledge hiding in context of asso...

One reason many methodological articles are not very intelligible to their readers is because the content is often inherently difficult. However, a contributing factor in some cases is the tacit assumption that rules of good writing cease to apply when writing about statistics. The authors of this article argue that good writing becomes even more important as the content of the article becomes ...

Association rule mining is interesting area of data mining research which discovers correlations between different item sets in a transaction database. Efforts have been made for efficient hiding of sensitive association rules, but these techniques do not consider the consequences such as loss of information, lost rules and increase in ghost rules production. In this paper, we propose improved ...

Privacy is an important issue in Data mining. The privacy field has seen speedy advances in current years because ability to store data has increased. Precisely, current advances in the data mining field have led to increased concerns about privacy. Privacy-preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. . Many met...

An association rule is classified as sensitive if its thread of revelation is above certain confidence value. If these sensitive rules were revealed to the public, it is possible to deduce sensitive knowledge from the published data and offers benefit for the business competitors. Earlier studies in privacy preserving association rule mining focus on binary data and has more side effects. But i...