A Survey on Privacy Preserving Association Rule Mining of Outsourced Databases

Data mining finds useful patterns from the large dataset. Data analysis techniques that are frequent itemset mining and association rule mining are two popular and broadly utilized for different applications. Personal or sensitive information of individuals, industries or organizations must be kept private before it is shared for the data mining. Hence privacy preserving data mining has become an important issue in the outsourcing databases. Nowadays, with the data storage and data processing technologies, privacy preservation has been one of the greater concern in the data mining. During last decade, lots of data mining techniques have been proposed. This paper aims to focus on comparative study of privacy preserving data mining techniques.