Results 51 to 60 of about 39,846 (313)
Solutions for the Object-Relational Databases Design [PDF]
Database Systems Journal, 2011 The need for databases occurs in the moment when takes place an informatics system development. Moreover, databases are an important step in this process.
Manole VELICANU, Iuliana BOTHA
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Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
The Advantage of NoSQL Databases over SQL Databases [PDF]
Database Systems JournalThis article highlights the advantages of NoSQL databases compared to traditional SQL (relational) databases. It argues that the database concept is often implicitly tied to relational models, overlooking non-relational databases’ potential in Big Data ...
Mario-Tudor CHIRIAC
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The impact of relational and non-relational databases on application performance
Journal of Computer Sciences InstituteThe purpose of this study was to assess the performance of two database systems, PostgreSQL (relational) and MongoDB (non-relational), in handling data and their impact on application performance.
Jakub Olszak +1 more
doaj +1 more source
A relation merging technique for relational databases [PDF]
[1992] Eighth International Conference on Data Engineering, 2003 A merging technique for relational schemas consisting of relation-schemes, key dependencies, referential integrity constraints, and null constraints is presented. The author examines the conditions required for using this technique with relational database management systems that provide different mechanisms for maintaining null and referential ...
openaire +2 more sources
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Extracting OWL ontologies from relational databases using data analysis and machine learning [PDF]
, 2016 Extracting OWL ontologies from relational databases is extremely helpful for realising the Semantic Web vision. However, most of the approaches in this context often drop many of the expressive features of OWL.
Al Khuzayem, L, Mcbrien, P
core +1 more source
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
AI &Innovation, EarlyView.ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
Logical Querying of Relational Databases
Journal of Economic Development, Environment and People, 2016 This paper aims to demonstrate the usefulness of formal logic and lambda calculus in database programming. After a short introduction in propositional and first order logic, we implement dynamically a small database and translate some SQL queries in ...
Luminita Pistol, Radu BUCEA-MANEA-TONIS
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