Results 31 to 40 of about 21,301,259 (161)
Majalah Ilmiah Bijak, 2022 The advancement of e-commerce marketplace applications has made small and medium entrepreneurs (SMEs) in the e-commerce sector, grow rapidly in the current Era Industrial Revolution 4.0 Era.
Yusup Rachmat Hidayat +2 more
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Data mining-based fragmentation of XML data warehouses [PDF]
International Workshop on Data Warehousing and OLAP, 2008 With the multiplication of XML data sources, many XML data warehouse models have been proposed to handle data heterogeneity and complexity in a way relational data warehouses fail to achieve.
Hadj Mahboubi, J. Darmont
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Reclassification queries in a geographical data warehouse
Revista Técnica de la Facultad de Ingeniería, 2012 A data warehouse is a specialized database designed to support decision-making and is usually modeled using a multidimensional view of data. A multidimensional model includes dimensions that are composed of levels.
Francisco Moreno +2 more
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Proposal of a health care network based on big data analytics for PDs
The Journal of Engineering, 2019 Health care networks for Parkinson's disease (PD) already exist and have been already proposed in the literature, but most of them are not able to analyse the vast volume of data generated from medical examinations and collected and organised in a pre ...
Leonarda Carnimeo +11 more
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Big Data in Data Warehouses [PDF]
The Future of Information Sciences, 2015 The amount of data grows every day. Along with that, new challanges and needs appear. We wonder how to collect and process this enormous amount of data and to get the information we need for bussiness management. Tools and technologies for that task should be scalable, distributed and with high bandwidth so we can quickly get to the information we want.
Danijela Jakšić +2 more
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4521 Collecting, Interpreting and Utilizing Retrospective Clinical Data from Data Warehouses
Journal of Clinical and Translational Science, 2020 OBJECTIVES/GOALS: Utilizing clinical electronic health record (eHR) data pulled en masse from data warehouses provides unique challenges when applying it to retrospective studies.
Brandon Joseph Sonn, Andrew Monte
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JMIR Medical Informatics, 2023 BackgroundIn recent years, health data collected during the clinical care process have been often repurposed for secondary use through clinical data warehouses (CDWs), which interconnect disparate data from different sources.
Adrien Bazoge +3 more
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A Multi-Agent Approach for the Extract-Transform-Load Process Support in Data Warehouses
TecnoLógicas, 2012 In order to provide an adequate solution in terms of robustness and automation in the process of Extract-Transform-Load (ETL) in data warehouses, in this article a multi-agent model that gathers the strengths of other approaches like wrappers and ad-hoc ...
Daniel Betancur-Calderón +1 more
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Harnessing the Power of Scientific Data Warehouses [PDF]
Journal of Systemics, Cybernetics and Informatics, 2005 Data warehousing architecture should generally protect the confidentiality of data before it can be published, provide sufficient granularity to enable scientists to variously manipulate data, support robust metadata services, and define standardized ...
Kevin Deeb
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DATA WAREHOUSES – MODELS, TECHNIQUES AND APPLICATIONS
TASK Quarterly, 2011 This paper discusses the basic concepts of modern data warehouses. It presents the multidimensional data model (logical model) and the physical model of a data warehouse, as well as selected design and implementation issues.
KRZYSZTOF GOCZYŁA
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