Results 101 to 110 of about 83,370 (327)
CAAI Transactions on Intelligence Technology, 2019 This study follows the previous study entitled ‘Rough set-based rule generation and Apriori-based rule generation from table data sets: A survey and a combination’, and this is the second study on ‘Rough set-based rule generation and Apriori-based rule ...
Hiroshi Sakai, Zhiwen Jian
doaj +1 more source
TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation [PDF]
North American Chapter of the Association for Computational Linguistics, 2018 Interacting with relational databases through natural language helps users with any background easily query and analyze a vast amount of data. This requires a system that understands users’ questions and converts them to SQL queries automatically.
Tao Yu +4 more
semanticscholar +1 more source
Sustainable Development, EarlyView.ABSTRACT Tourism serves as a critical driver of economic development, yet its relationship with macroeconomic and socio‐political factors remains underexplored in emerging economies like Bangladesh. This study examines the long‐run and short‐run impacts of macroeconomic drivers, including CO₂ emissions, GDP growth, inflation, population growth, road ...
Bapon Chandra Kuri +4 more
wiley +1 more source
Survey of Just-in-Time Query Compilation Methods
Труды Института системного программирования РАН, 2018 Data processing systems have been traditionally optimized for I/O, mainly because, until pretty recently, disk storage has been the most affordable type of storage and the most prevalent one.
E. Y. Sharygin, R. A. Buchatskiy
doaj +1 more source
Weakly Supervised Text-to-SQL Parsing through Question Decomposition [PDF]
arXiv, 2021 Text-to-SQL parsers are crucial in enabling non-experts to effortlessly query relational data. Training such parsers, by contrast, generally requires expertise in annotating natural language (NL) utterances with corresponding SQL queries. In this work, we propose a weak supervision approach for training text-to-SQL parsers.
arxiv
Software: Practice and Experience, EarlyView.ABSTRACT A large part of data science projects is spent on data engineering. Especially in open data contexts, data quality issues are prevalent and are often tackled by non‐professional programmers. We introduce and evaluate Jayvee, a domain‐specific language for data engineering aimed at reducing barriers to building data pipelines.
Philip Heltweg +3 more
wiley +1 more source
Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing [PDF]
arXiv, 2023 In the context-dependent Text-to-SQL task, the generated SQL statements are refined iteratively based on the user input utterance from each interaction. The input text from each interaction can be viewed as component modifications to the previous SQL statements, which could be further extracted as the modification patterns.
arxiv
Software: Practice and Experience, EarlyView.Background Mining logic rules from structured knowledge bases is the basis of knowledge engineering. Due to the NP‐hardness of the rule mining problem, logic rules cannot be efficiently induced from knowledge bases, especially large‐scale ones.
Ruoyu Wang +3 more
wiley +1 more source
An adaptation of function point analysis and COCOMO for estimating the cost of Oracle SQL*forms application development [PDF]
, 1992 Y. Renee Lewis, Paul Oliver
openalex +2 more sources
A Formalization of SQL with Nulls [PDF]
arXiv, 2020 SQL is the world's most popular declarative language, forming the basis of the multi-billion-dollar database industry. Although SQL has been standardized, the full standard is based on ambiguous natural language rather than formal specification. Commercial SQL implementations interpret the standard in different ways, so that, given the same input data,
arxiv