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Privacy-preserving classification of customer data without loss of accuracy

机译：客户数据的保护隐私的分类而不会丢失准确性

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Zhiqiang Yang; Sheng Zhong; Rebecca N. Wright;
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年度 2005
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1. Latent Class Modeling for Site- and Non-Site-Specific Classification Accuracy Assessment Without Ground Data [J] . Foody G. M. Geoscience and Remote Sensing, IEEE Transactions on . 2012,第7期

机译：在没有地面数据的情况下用于站点和非站点特定分类准确性评估的潜在类建模
2. Improvement on a privacy-preserving outsourced classification protocol over encrypted data [J] . Chai Yanting, Zhan Yu, Wang Baocang, Wireless Networks . 2020,第6期

机译：通过加密数据的隐私保留外包分类协议的改进
3. Lightweight privacy-Preserving data classification [J] . Ngoc Hong Tran, Nhien-An Le-Khac, M-Tahar Kechadi Computers & Security . 2020,第Octa期

机译：轻量级隐私保留数据分类
4. Privacy-Preserving Classification of Customer Data without Loss of Accuracy [C] . Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright SIAM International Conference on Data Mining . 2005

机译：隐私保留客户数据的分类而不会损失准确性
5. Time-dependent predictive accuracy: Extending binary classification accuracy methods for censored survival data. [D] . Saha, Paramita. 2009

机译：与时间有关的预测准确性：扩展了用于审查生存数据的二进制分类准确性方法。
6. A robust data scaling algorithm to improve classification accuracies in biomedical data [O] . Xi Hang Cao, Ivan Stojkovic, Zoran Obradovic 2016

机译：强大的数据缩放算法可提高生物医学数据中的分类准确性
7. Secure Naïve Bayes Classification without Loss of Accuracy with Application to Breast Cancer Prediction [O] . Artrim Kjamilji, Arben Idrizi, Shkurte Luma-Osmani, 2020

机译：安全Naïve贝叶斯分类而不会损失准确性，应用于乳腺癌预测

Privacy-preserving classification of customer data without loss of accuracy

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