A K-Means Clustering Approach for PCA-Based Web Service QoS Prediction-Reference-Cited by-同舟云学术

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A K-Means Clustering Approach for PCA-Based Web Service QoS Prediction

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)
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Author:

Yang Huaizhou,Yan Hongdan,Dong Cuilian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8967480/8982561/08982566.pdf?arnumber=8982566

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative-Adversarial-Based Feature Compensation to Predict Quality of Service;IEEE Transactions on Services Computing;2023

2. A Hybrid Model for QoS Prediction based on Improved Conditional Variational Autoencoder;2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2022-12

3. A Multi-stack Denoising Autoencoder for QoS Prediction;Lecture Notes in Computer Science;2022

4. Service Partition Method Based on Particle Swarm Fuzzy Clustering;Wireless Communications and Mobile Computing;2021-12-08

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