Privacy preserving data mining Extracts relevant knowledge from large amount of data and at the same time protect sensitive information from the data miners. People in business, hospitals, educational institutions, and banks need a secure and safe transaction of their data. To serve this need Privacy Preserving Data Mining (PPDM) was created. PPDM solves the problem related to designing accurate models about combined data without requiring the access to exact information in individual data record. PPDM is the most important research area for protecting the perceptive data or knowledge. The important technique of PPDM is Association rule hiding that protects the association rules generated by association rule mining. This study presents a survey of association rule hiding approach for preserving privacy of the user data. Association rule hiding methodology consists of five approaches namely Heuristic, Border, Exact, Cryptography and Reconstruction The study has briefly explained the Heuristic approach.

Privacy preserving Data Mining, Association Rule Hiding approaches. Heuristic Approach

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