Research Article Open Access

Privacy Clustered Mining of Association Rules in Distributed Database by Using Fuzzyfication

Abstract

Data Mining is very emerging technology for mining efficient dataset according to the user request. Association rules are very crucial part in data mining which tell the relationship between two item sets by using the apriori algorithm so that it will give the frequent item sets. Algorithm used in the system is EDMA (Efficient Data Mining Algorithm) which processes the user query and navigates to the appropriate databases which are local to that site. In First step apriori algorithm is used to find the association of requested dataset and in second step the fuzzy association rules are taken place by applying the fuzzy operations. The system uses the fuzzy association so that if any item does not get the association with any other item then it will be associated because of the complex fuzzy operations. So that it will be better to get the requested data to the user because the system will check the datasets on each and every site and by combining the datasets of different sites it will be given to the user. Thus the transaction will be secured by using the association key and also user requested data will be given and also the system is used as a analytical tool which provides the precise data.

Shital K. Somawar, Prof.Vanita Babanne

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