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Solutions for medical databases optimal exploitation
The paper discusses the methods to apply OLAP techniques for multidimensional databases that leverage the existing, performance-enhancing technique, known as practical pre-aggregation, by making this technique relevant to a much wider range of medical applications, as a logistic support to the data...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Carol Davila University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3956088/ https://www.ncbi.nlm.nih.gov/pubmed/24653769 |
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author | Branescu, I Purcarea, VL Dobrescu, R |
author_facet | Branescu, I Purcarea, VL Dobrescu, R |
author_sort | Branescu, I |
collection | PubMed |
description | The paper discusses the methods to apply OLAP techniques for multidimensional databases that leverage the existing, performance-enhancing technique, known as practical pre-aggregation, by making this technique relevant to a much wider range of medical applications, as a logistic support to the data warehousing techniques. The transformations have practically low computational complexity and they may be implemented using standard relational database technology. The paper also describes how to integrate the transformed hierarchies in current OLAP systems, transparently to the user and proposes a flexible, “multimodel" federated system for extending OLAP querying to external object databases. |
format | Online Article Text |
id | pubmed-3956088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Carol Davila University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39560882014-05-15 Solutions for medical databases optimal exploitation Branescu, I Purcarea, VL Dobrescu, R J Med Life Young Researchers Area The paper discusses the methods to apply OLAP techniques for multidimensional databases that leverage the existing, performance-enhancing technique, known as practical pre-aggregation, by making this technique relevant to a much wider range of medical applications, as a logistic support to the data warehousing techniques. The transformations have practically low computational complexity and they may be implemented using standard relational database technology. The paper also describes how to integrate the transformed hierarchies in current OLAP systems, transparently to the user and proposes a flexible, “multimodel" federated system for extending OLAP querying to external object databases. Carol Davila University Press 2014-03-15 2014-03-25 /pmc/articles/PMC3956088/ /pubmed/24653769 Text en ©Carol Davila University Press http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Young Researchers Area Branescu, I Purcarea, VL Dobrescu, R Solutions for medical databases optimal exploitation |
title | Solutions for medical databases optimal exploitation |
title_full | Solutions for medical databases optimal exploitation |
title_fullStr | Solutions for medical databases optimal exploitation |
title_full_unstemmed | Solutions for medical databases optimal exploitation |
title_short | Solutions for medical databases optimal exploitation |
title_sort | solutions for medical databases optimal exploitation |
topic | Young Researchers Area |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3956088/ https://www.ncbi.nlm.nih.gov/pubmed/24653769 |
work_keys_str_mv | AT branescui solutionsformedicaldatabasesoptimalexploitation AT purcareavl solutionsformedicaldatabasesoptimalexploitation AT dobrescur solutionsformedicaldatabasesoptimalexploitation |