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个人简介
Dr. Clifton works on data privacy, particularly with respect to analysis of private data. This includes privacy-preserving data mining, data de-identification and anonymization, and limits on identifying individuals from data mining models. He also works more broadly in data mining, including data mining of text and data mining techniques applied to interoperation of heterogeneous information sources. Fundamental data mining challenges posed by these applications include extracting knowledge from noisy data, identifying knowledge in highly skewed data (few examples of "interesting" behavior), and limits on learning. He also works on database support for widely distributed and autonomously controlled information, particularly issues related to data privacy.
研究兴趣
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SDMpp.874-882, (2023)
CoRR (2022)
arXiv (Cornell University) (2021)
Farzad Zafarani,Chris Clifton
arXiv (Cornell University)no. 4 (2021): 406-419
CoRR (2021)
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semanticscholar(2018)
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