The density-based clustering method for privacy-preserving data mining

The density-based clustering method for privacy-preserving data mining

Privacy-preserving data mining has become an interesting and emerging issue in recent years since it can, not only hide the sensitive information but still mine the meaningful knowledge at the same time. Since privacy-preserving data mining is a non-trivial task, which is also concerned as a NP-hard...

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Bibliographic Details
Main Authors: Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Philippe Fournier-Viger, Youcef Djenouri, Chun-Hao Chen, Zhongcui Li
Format: Article
Language:English
Published: AIMS Press 2019-02-01
Series:Mathematical Biosciences and Engineering
Subjects:
density clustering
pareto solutions
optimization
ppdm
deletion
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2019082?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2019082?viewType=HTML

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