Abstract
Privacy preservation of information is an important approach to data mining. Infrequent or rare itemset mining is a new technique in this field which is very useful for gaining profit from the business point of view. Rare thing can make more profit. Misuse of these techniques can lead to revelation of confidential information. In this paper, we addressed this problem of privacy preservation of data mining by using sanitization of database or in the other word hiding high utility rare itemsets. We have identified high utility rare patterns and introduce an approach for dynamic addition of transactions. The central goal of the proposed algorithm is to optimize high utility rare items for providing privacy.
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Shrivastava, S., Johari, P.K. (2017). Privacy Preservation of Infrequent Itemsets Mining Using GA Approach. In: Patnaik, S., Popentiu-Vladicescu, F. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 555. Springer, Singapore. https://doi.org/10.1007/978-981-10-3779-5_12
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DOI: https://doi.org/10.1007/978-981-10-3779-5_12
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