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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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/174777 |