Supporting the DevOps Feedback Loop using Unsupervised Machine Learning

机译：使用无监督机器学习支持DevOps反馈循环

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摘要

The following topics are dealt with: learning (artificial intelligence); pattern classification; natural language processing; convolutional neural nets; feature extraction; neural nets; support vector machines; multi-agent systems; text analysis; vectors.

机译：涉及以下主题：学习（人工智能）；模式分类自然语言处理；卷积神经网络特征提取;神经网络支持向量机；多代理系统；文本分析；向量。

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来源
《2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications》|2019年|1-6|共6页
会议地点 Sofia(BG)
作者
Iris Figalist; Andreas Biesdorf; Christoph Brand; Sebastian Feld; Marie Kiermeier;
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作者单位

Corporate Technology, Siemens AG, Munich, Germany;

Corporate Technology, Siemens AG, Munich, Germany;

Corporate Technology, Siemens AG, Munich, Germany;

Mobile and Distributed Systems Group, Institute for Computer Science, Ludwig-Maximilians-University, Munich, Germany;

Mobile and Distributed Systems Group, Institute for Computer Science, Ludwig-Maximilians-University, Munich, Germany;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Feature extraction; Monitoring; Real-time systems; Databases; Clustering algorithms; Machine learning; Production;

机译：特征提取;监控;实时系统;数据库;聚类算法;机器学习;生产;;

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Supporting the DevOps Feedback Loop using Unsupervised Machine Learning

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