ENHANCED SECURE MINING OF ASSOCIATION RULES IN HORIZONTALLY DISTRIBUTED DATABASES

Dr.V. Ramesh

Abstract


Association rule mining in the entire relevant and frequent item set extraction from over item sets in transactional data. Security is the main contribution of association transactions from various preferable data events. Data exploration can draw out important knowledge from large data selections – but sometimes these selections are split among various events. Comfort concerns may prevent the parties from directly discussing the details, and some types of information about the details. This paper details secure exploration of association rules over side to side portioned data. The methods incorporate cryptographic techniques to reduce the details distributed, while including little expense to the exploration task.

Keywords:  Privacy Preserving Data Mining, Distributed Computation, Frequent Item sets, Association Rules, Cryptography systems with processing of item sets.


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