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Bangzhou Xin
University of Science and Technology of China
Random forestDifferential privacyInformation securityBig dataDecision tree
2Publications
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May 1, 2020 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Bangzhou Xin (USTC: University of Science and Technology of China)H-Index: 1
#2Wei Yang (USTC: University of Science and Technology of China)H-Index: 15
Last. Liusheng Huang (USTC: University of Science and Technology of China)H-Index: 27
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May 7, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Bangzhou Xin (USTC: University of Science and Technology of China)H-Index: 1
#2Wei Yang (USTC: University of Science and Technology of China)H-Index: 15
Last. Liusheng Huang (USTC: University of Science and Technology of China)H-Index: 27
view all 4 authors...
As information security is increasingly valued, privacy-preserving data mining has become a research hotspot in the field of big data and signal processing. We propose a new differentially private greedy decision forest algorithm called DPGDF to help improve the accuracy of privacy-preserving data mining. Unlike previous algorithms that only employed greedy decision trees or random forests, our algorithm uses a combination of greedy trees and parallel combination theory to construct a greedy dec...
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