Paper.pdf

icde22-tutorial-paper.pdf
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🔗 Source: dbgroup.cs.tsinghua.edu.cn
📊 Size: 158 KB
📄 Pages: 4 pages
⬇️ Downloads: 706

Summary

Machine learning techniques have been proposed to optimize data management, extracting knowledge from historical tasks and generalizing it to similar new tasks, achieving better performance in many scenarios, such as knob tuning and cardinality estimation. However, applying machine learning to data management systems poses challenges, including selecting effective features, designing proper models, and validating whether the models meet requirements. This tutorial discusses existing learning-based data management studies, their solutions to these challenges, and provides future research directions, covering topics such as database core, database advisor, training data generation, and autonomous systems.

Description

Machine learning techniques have been proposed to optimize data management, extracting knowledge from historical tasks and generalizing it to similar new...

Technical Information

  • File Format: PDF
  • File Size: 158 KB
  • Pages: 4
  • Language: EN
  • Total Downloads: 706
  • Last Updated: 2 hours ago

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