Oguri Hidenobu

ID:9000396135504

FUJITSU LABORATORIES LTD. (2018年 CiNii収録論文より)

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  • How to Handle Excessively Anonymized Datasets

    Nojima Ryo , Oguri Hidenobu , Kikuchi Hiroaki , Nakagawa Hiroshi , Hamada Koki , Murakami Takao , Yamaoka Yuji , Watanabe Chiemi

    <p>Many companies and organizations have been collecting personal data with the aim of sharing it with partners. To prevent re-identification, the data should be anonymized before being shared. …

    Journal of Information Processing 26(0), 477-485, 2018

    J-STAGE 

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