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How to Handle Excessively Anonymized Datasets.
Ryo Nojima
Hidenobu Oguri
Hiroaki Kikuchi
Hiroshi Nakagawa
Koki Hamada
Takao Murakami
Yuji Yamaoka
Chiemi Watanabe
Published in:
J. Inf. Process. (2018)
Keyphrases
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benchmark datasets
privacy preserving
database
uci machine learning repository
multiscale
data structure
knowledge base
training data
association rules
privacy preservation
high dimensional datasets
experimental results on real world