Search Results - SQL Query

Enhancing SQL Query Performance: A Case Study on Optimizing Enterprise Data Processing

Authors: Karthik Sirigiri

Source: International Journal of Basic and Applied Sciences. 14:353-360

How to Optimize SQL Queries? A Comparison Between Split, Holistic, and Hybrid Approaches

Authors: Luca Gretscher Jens Dittrich

Source: Proceedings of the VLDB Endowment. 18:3910-3922

Automated SQL Query Generation for an Intelligent Sewer Management System Using Large Language Models

Authors: Dharmendra Reddy Chitte Fei Liang Weihua Sheng et al.

Source: 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). :3339-3344

Enhancing SQL Query Generation with Neurosymbolic Reasoning

Authors: Princis, Henrijs David, Cristina Mycroft, Alan et al.

Contributors: Princis, Henrijs David, Cristina Mycroft, Alan et al.

Source: Princis, H, David, C & Mycroft, A 2025, Enhancing SQL Query Generation with Neurosymbolic Reasoning. in T Walsh, J Shah & Z Kolter (eds), AAAI-25 Technical Tracks 19. 19 edn, Proceedings of the AAAI Conference on Artificial Intelligence, no. 19, vol. 39, AAAI Press, pp. 19959-19968, The 39th Annual AAAI Conference on Artificial Intelligence, Philadelphia, Pennsylvania, United States, 25/02/25. https://doi.org/10.48550/arXiv.2408.13888, https://doi.org/10.1609/aaai.v39i19.34198

Subject Terms: Software Engineering (cs.SE), FOS: Computer and information sciences, I.2, Computer Science - Software Engineering, Artificial Intelligence (cs.AI), Computer Science - Databases, Computer Science - Artificial Intelligence, Databases (cs.DB)

File Description: application/pdf

Access URL: http://arxiv.org/abs/2408.13888
https://research-information.bris.ac.uk/ws/files/449032468/Xander_Paper_AAAI_25.pdf
https://hdl.handle.net/1983/433b214a-d736-4f6d-88cb-8a140c4254d2

Translation of imprecise query into SQL Query via MATLAB

Authors: null Subita Kumari null Sonia

Source: World Journal of Advanced Engineering Technology and Sciences. 15:2312-2319

Natural Language Query to SQL query generation using LSTMs, Transformers, LLMs and Gen AI

Authors: Rama Krishna Raju Samantapudi Mukesh Reddy Dhanagari Sai Tarun

Source: American Journal of Technology. 4:30-55

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries

Authors: Harsh Kumar Mohi Reza Jeb Thomas-Mitchell et al.

Source: Proceedings of the 4th International Workshop on Data Systems Education: Bridging Education Practice with Education Research. :23-28

Subject Terms: FOS: Computer and information sciences, Computer Science - Computers and Society, Artificial Intelligence (cs.AI), Computer Science - Databases, Computer Science - Artificial Intelligence, Computers and Society (cs.CY), Computer Science - Human-Computer Interaction, Databases (cs.DB), Human-Computer Interaction (cs.HC)

Access URL: http://arxiv.org/abs/2408.08401

Logical and Physical Optimizations for SQL Query Execution over Large Language Models

Authors: Dario Satriani Enzo Veltri Donatello Santoro et al.

Source: Proceedings of the ACM on Management of Data. 3:1-28

Text to SQL Query

Authors: Kartik Sharma

Source: International Journal for Research in Applied Science and Engineering Technology. 13:6870-6873

Voice-Driven Natural Language to SQL Query Conversion Using NLP Techniques

Authors: P. Shashank Reddy

Source: INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-9

STRATEGIES FOR IMPROVING THE PERFORMANCE OF RUBY WEB APPLICATIONS: DATA CACHING AND SQL QUERY OPTIMIZATION

Authors: Topalidi A.

Subject Terms: data caching, SQL query optimization, web application performance, Redis, Memcached, ActiveRecord, N+1 queries

Advancements in SQL Query Optimization: A Review of Join Order and Index Selection

Authors: Nisuli Hettiarachchi Prasan Yapa

Source: 2025 5th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). :31-39

Enhancing SQL Query Security using Graph-based Hierarchical Embeddings with SMOTE and Advanced Neural Networks for Robust Detection

Authors: Mangaiyarkarasi K Uma Priyadarsini P. S.

Source: 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom). :1-7

Enhancing Cybersecurity with Sequential Neural Models for SQL Query Anomaly Detection

Authors: Mangaiyarkarasi K. Uma Priyadarsini P. S.

Source: 2025 12th International Conference on Computing for Sustainable Global Development (INDIACom). :1-7

SQL query design and optimization: A study of joins, window functions, and recursive constructs

Authors: Mohanraju Muppala

Source: SQL Database Mastery: Relational Architectures, Optimization Techniques,and Cloud-Based Applications ISBN: 9789371851916

Speech-to-SQL: toward speech-driven SQL query generation from natural language question

Authors: Yuanfeng Song Raymond Chi-Wing Wong Xuefang Zhao

Source: The VLDB Journal. 33:1179-1201

Subject Terms: Speech-driven querying system, AI/NLP/Speech for database, SQL query generation, Speech-to-SQL

Based on BERT-GPT-GNN converged architecture: intelligent generation engine for complex SQL queries in business intelligence

Authors: Shiwei Chu Jie Liu

Source: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-21 (2025)

Subject Terms: Business intelligence systems, Natural language big models, Retrieval-augmented generation, Text to structured query language, Natural language queries, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2731-0809

Access URL: https://doaj.org/article/b660266342cc43e588231a9407b75f12

TQWERE: Transformer-Based SQL Query Executor

Authors: Nir Regev Asaf Shabtai Lior Rokach

Source: Natural Language Processing, Information Retrieval and AI Trends 2025. :115-131

Comparative Analysis of Table Aliasing in SQL Queries: Functional and Semantic Implications

Authors: Rabel Catayoc

Source: American Journal of Smart Technology and Solutions. 4:25-29

Automated SQL Query Evaluations in Massive Database Courses

Authors: Brkić, Ljiljana Fertalj, Melita Mekterović, Igor

Source: 2024 47th MIPRO ICT and Electronics Convention (MIPRO). :193-198

Subject Terms: Automated Programming Assessment System, SQL, Dataset Comparison, Multiple Database Instances