A BiLSTM cardinality estimator in complex database systems based on attention mechanism-Reference-Cited by-同舟云学术

A BiLSTM cardinality estimator in complex database systems based on attention mechanism

Published:2021-12-02 Issue: Volume: Page:
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI Trans on Intel Tech

Author:

Zhou Qiang¹,Yang Guoping²,Song Haiquan³,Guo Jin¹,Zhang Yadong¹,Wei Shengjie⁴,Qu Lulu²,Gutierrez Louis Alberto⁵,Qiao Shaojie²^ORCID

Affiliation:

1. School of Information Science and Technology, Southwest Jiaotong University Chengdu China

2. School of Software Engineering Chengdu University of Information Technology Chengdu China

3. School of Energy Power and Mechanical Engineering North China Electric Power University Baoding China

4. Digital Media Art, Key Laboratory of Sichuan Province Sichuan Conservatory of Music Chengdu China

5. Department of Computer Science Rensselaer Polytechnic Institute New York New York USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12069

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