Based on BERT-GPT-GNN converged architecture: intelligent generation engine for complex SQL queries in business intelligence
Abstract Modern enterprises increasingly rely on data-driven decision-making, but traditional SQL (Structured Query Language) queries require professional knowledge, limiting their use by non-technical personnel. With the advancement of natural language processing technology, especially the applicat...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00381-y |
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