Robust System Instance Clustering for Large-Scale Web Services-Reference-Cited by-同舟云学术

Robust System Instance Clustering for Large-Scale Web Services

Published:2022-04-25 Issue: Volume: Page:
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Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Zhang Shenglin¹,Li Dongwen¹,Zhong Zhenyu¹,Zhu Jun¹,Liang Minghan¹,Luo Jiexi¹,Sun Yongqian¹,Su Ya²,Xia Sibo¹,Hu Zhongyou¹,Zhang Yuzhi¹,Pei Dan³,Sun Jiyan⁴,Liu Yinlong⁴

Affiliation:

1. Nankai University, China

2. Kuaishou Technology, China

3. Tsinghua University, China

4. Institute of Information Engineering, Chinese Academy of Sciences, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3511983

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3. [ 3 ] 2021. https://github.com/omni-cluster/OmniClutser-labeling-tool/ [3] 2021. https://github.com/omni-cluster/OmniClutser-labeling-tool/

4. Time-series clustering – A decade review

5. Fevzi Alimoglu and Ethem Alpaydin . 1997 . Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio. In 4th International Conference Document Analysis and Recognition (ICDAR ’97) , 2-Volume Set , August 18-20, 1997, Ulm, Germany, Proceedings. IEEE Computer Society, 637–640. https://doi.org/10.1109/ICDAR.1997.620583 10.1109/ICDAR.1997.620583 Fevzi Alimoglu and Ethem Alpaydin. 1997. Combining Multiple Representations and Classifiers for Pen-based Handwritten Digit Recognitio. In 4th International Conference Document Analysis and Recognition (ICDAR ’97), 2-Volume Set, August 18-20, 1997, Ulm, Germany, Proceedings. IEEE Computer Society, 637–640. https://doi.org/10.1109/ICDAR.1997.620583

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