Results 91 to 100 of about 16,300 (303)

Document-Oriented Models for Data Warehouses. [PDF]

, 2016
International audienceThere is an increasing interest in NoSQL (Not Only SQL) systems developed in the area of Big Data as candidates for implementing multidimensional data warehouses due to the capabilities of data structuration/storage they offer.
Chevalier, Max, Kopliku, Arlind, El Malki, Mohammed, Teste, Olivier, Tournier, Ronan   +4 more
core   +2 more sources

SemanticQuark: A Python-Native Framework for Unified Semantic Analytics

IEEE Access
Modern analytics environments suffer from persistent metric inconsistency: dashboards, notebooks, and reporting pipelines independently reconstruct business metric definitions, yielding conflicting results that erode trust in data-driven decisions ...
Vipin Kataria, Nitin Kumar
doaj   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Building Data Warehouses Using Numbered Information Spaces [PDF]

, 2005
An approach for organizing the information in the data warehouses is presented in the paper. The possibilities of the numbered information spaces for building data warehouses are discussed.
Markov, Krassimir
core  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Data Integration Approaches for AI-Ready Data Architecture: A Comparative Review of Relational Databases, Data Warehouses, and Knowledge Graphs

Jurnal Teknologi Informatika & Komputer
The rapid development of Artificial Intelligence (AI)-based systems has increased demand for integrated data architectures that support operational, analytical, and semantic data management.
Kodrat Mahatma, Mamok Andri Senubekti, Binastya Anggara Sekti   +2 more
doaj   +1 more source

Harvesting Information from a Library Data Warehouse

Information Technology and Libraries, 2017
Data warehousing technology has been defined by John Ladley as "a set of methods, techniques, and tools that are leveraged together and used to produce a vehicle that delivers data to end users on an integrated platform." (1) This concept h s been ...
Siew-Phek T. Su, Ashwin Needamangala
doaj   +1 more source

Temporal Semistructured Data Models and Data Warehouses

, 2006
This chapter describes a graph-based approach to represent information stored in a data warehouse, by means of a temporal semistructured data model. We consider issues related to the representation of semistructured data warehouses, and discuss the set ...
OLIBONI, Barbara, COMBI, Carlo
core  

Node Partitioned Data Warehouses

, 2008
Data Warehouses (DWs) with large quantities of data present major performance and scalability challenges, and parallelism can be used for major performance improvement in such context.
Pedro Furtado
core   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source