A Survey on Privacy-Preserving Mining of Association Rule on Databases

Many large businesses share their data, outsourcing for their business problem. In the field of data mining Privacy Preserving Data Mining (PPDM) is a research area related with the protecting private data. Nowadays, privacy preserving has widely used field of research. In the area of data mining PPDM is important field of research. In PPDM, various methods and techniques have been used till date. In this paper, we provide survey on Privacy Preserving Association Rule Mining. This is popular technique in pattern discovery methods in the field of privacy preserving data mining. In recent years, many algorithms have been proposed. We divide the proposals of privacy preserving association rule mining into three categories: reconstruction-based techniques, heuristic-based techniques, cryptography-based techniques. Finally, we conclude further research directions of privacy preserving algorithms of association rule mining by analysing the existing work.