Noisy Bloom Filters for Multi-Set Membership Testing-Reference-Cited by-同舟云学术

Noisy Bloom Filters for Multi-Set Membership Testing

Published:2016-06-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science
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Author:

Dai Haipeng¹,Zhong Yuankun²,Liu Alex X.²,Wang Wei²,Li Meng²

Affiliation:

1. StaNanjing University., Nanjing, China

2. Nanjing University., Nanjing, China

Funder

Huawei Innovation Research Program (HIRP)

National Natural Sci- ence Foundation of China

Jiangsu High-level Innovation and Entrepreneurship (Shuangchuang) Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2896377.2901451

Reference26 articles.

1. https://software.intel.com/en-us/articles/data-alignment-when-migrating-to-64-bit-intel-architecture. https://software.intel.com/en-us/articles/data-alignment-when-migrating-to-64-bit-intel-architecture.

2. Upper bounds for constant-weight codes

3. R. Arratia and L. Gordon. Tutorial on large deviations for the binomial distribution. Bulletin of mathematical biology 51(1):125--131 1989. R. Arratia and L. Gordon. Tutorial on large deviations for the binomial distribution. Bulletin of mathematical biology 51(1):125--131 1989.

4. Beyond bloom filters

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