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- W2331248427 abstract "Data mining is a technique to get the useful information that can be utilized for marketing and pattern analysis by processing the data that we have. However, when we use this technique, data provider`s personal data can be leaked by accident. To protect these data from leakage, there were several techniques have been studied to preserve privacy. Vertically partitioned data is a state called that the data is separately provided to various number of user. On these vertically partitioned data, there was some methods developed to distinguishing kth element and (k+1) th element by using score. However, in previous method, we can only use on two-party case, so in this paper, we propose the extended technique by using paillier cryptosystem which can use on multi-party case." @default.
- W2331248427 created "2016-06-24" @default.
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- W2331248427 date "2014-12-31" @default.
- W2331248427 modified "2023-09-24" @default.
- W2331248427 title "Privacy-Preserving Kth Element Score over Vertically Partitioned Data on Multi-Party" @default.
- W2331248427 cites W1996360405 @default.
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- W2331248427 doi "https://doi.org/10.13089/jkiisc.2014.24.6.1079" @default.
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