Enhancing the performance of selectivity estimation with machine learning techniques

Selectivity estimation is a fundamental task in database management systems and has been studied for decades. Given a SQL query, selectivity estimation returns the number of records in the query result without answering the query. Most real database management systems adopt statistical methods fo...

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Bibliographic Details
Main Author: Meng, Zizhong
Other Authors: Gao Cong
Format: Thesis-Doctor of Philosophy
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/174777
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Institution: Nanyang Technological University
Language: English