An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset-Reference-Cited by-同舟云学术

An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset

Published:2022-10-17 Issue: Volume: Page:
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Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Li Meng¹,Yu Lu¹,Zhang Ya-Lin¹,Huang Xiaoguang¹,Shi Qitao¹,Cui Qing¹,Yang Xinxing¹,Li Longfei¹,Zhu Wei¹,Fang Yanming¹,Zhou Jun¹

Affiliation:

1. Ant Group, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557088

Reference47 articles.

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4. Leo Breiman J. H. Friedman R. A. Olshen and C. J. Stone. 1984. Classification and Regression Trees. Wadsworth. Leo Breiman J. H. Friedman R. A. Olshen and C. J. Stone. 1984. Classification and Regression Trees. Wadsworth.

5. Chaochao Chen , Jun Zhou , Longfei Zheng , Yan Wang , Xiaolin Zheng , Bingzhe Wu , Cen Chen , Li Wang , and Jianwei Yin . 2020. Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR , Vol. abs/ 2012 .09364 ( 2020 ). Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, and Jianwei Yin. 2020. Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR, Vol. abs/2012.09364 (2020).

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