Techniques for Privacy Preserving Association Rule Mining in Distributed Database

Data mining technology has emerged as a means of identifying patterns and trends from large quantities of data. Mining association rule is important data mining problem. Association rule mining algorithms are used to discover important knowledge from databases. Privacy concept occurs when the data is distributed in environment and association rule also depend on the distribution of data in environment. There are mainly three type of distribution occurs in database like vertical partition or horizontal partition or hybrid partition among different site. So that it increases the demand of finding the global Association result that may be frequent or infrequent it’s depending on the data in different sites for finding global result without disclosing information of their own data to other parties. So we need protocol for provide security in horizontal partitioning and vertical partitioning as well as hybrid partitioning of data. Here in this paper we gave a survey on various privacy preserving technique using association rule mining for vertical, horizontal and hybrid database. KeywordsHorizontal partitioned database;Distributed Association Rule Mining; Privacy preserving protocols.