Results 41 to 50 of about 1,226,220 (295)
Modeling Spatial Data within Object Relational-Databases [PDF]
Database Systems Journal, 2011 Spatial data can refer to elements that help place a certain object in a certain area. These elements are latitude, longitude, points, geometric figures represented by points, etc.
Iuliana BOTHA, Anda VELICANU, Adela BARA
doaj
Mining Relational Databases [PDF]
, 2000 In this paper, we propose a classification system to induce an intentional definition of a relation from examples, when background knowledge is stored in a relational database composed of several tables and views. Refinement operators have been defined to integrate in a uniform way different induction tools learning numeric and symbolic constraints ...
Frédéric Moal +2 more
openaire +1 more source
Open issues in semantic query optimization in relational DBMS [PDF]
, 2004 After two decades of research into Semantic Query Optimization (SQO) there is clear agreement as to the efficacy of SQO. However, although there are some experimental implementations there are still no commercial implementations.
Genet, Bryan Howard, Hinze, Annika
core
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
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
A Comprehensive Spark-Based Layer for Converting Relational Databases to NoSQL
Big Data and Cognitive Computing, 2022 Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data.
Manal A. Abdel-Fattah +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 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
doaj
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
doaj
BMC Medical Informatics and Decision Making, 2017 Background The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic
Ricardo Sánchez-de-Madariaga +6 more
doaj +1 more source