Results 51 to 60 of about 4,750,073 (297)
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
Journal of Advanced Research in Natural and Applied Sciences, 2022 Relational database management systems have been used for storing data for a long time.However, these systems are insufficient to analyze the large and complex structure of the data.
Ramazan Altın, A. Cumhur Kınacı
doaj +1 more source
Advanced Engineering Materials, EarlyView.The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
Advanced Science, EarlyView.StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
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
Data Mining Using Relational Database Management Systems [PDF]
, 2006 Software packages providing a whole set of data mining and machine learning algorithms are attractive because they allow experimentation with many kinds of algorithms in an easy setup.
Doina, Precup +14 more
core +1 more source
miSolRNA: A tomato micro RNA relational database
BMC Plant Biology, 2010 Background The economic importance of Solanaceae plant species is well documented and tomato has become a model for functional genomics studies. In plants, important processes are regulated by microRNAs (miRNA).
Fernie Alisdair R +8 more
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Semantic query in a relational database using a local ontology construction (Retraction)
South African Journal of Science, 2020 The Editor-in-Chief is retracting the paper entitled ‘Semantic query in a relational database using a local ontology construction’ by Saeed M. Sedighi (corresponding author) and Reza Javidan, published in the November/December 2012 issue (volume 108 ...
Saeed M. Sedighi, Reza Javidan
doaj +1 more source
Journal of Cheminformatics, 2023 Current biological and chemical research is increasingly dependent on the reusability of previously acquired data, which typically come from various sources.
Jakub Galgonek, Jiří Vondrášek
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GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs
AIChE Journal, EarlyView.Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin +1 more
wiley +1 more source