Results 281 to 290 of about 287,004 (330)

Implementing a Biomedical Data Warehouse From Blueprint to Bedside in a Regional French University Hospital Setting: Unveiling Processes, Overcoming Challenges, and Extracting Clinical Insight.

JMIR Med Inform
Karakachoff M, Goronflot T, Coudol S, Toublant D, Bazoge A, Constant Dit Beaufils P, Varey E, Leux C, Mauduit N, Wargny M, Gourraud PA.   +10 more
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Data Warehouse Testing

International Journal of Data Warehousing and Mining, 2011
Testing is an essential part of the design life-cycle of a software product. Although most phases of data warehouse design have received considerable attention in the literature, not much research has been conducted concerning data warehouse testing. In this paper, the authors introduce a number of data mart-specific testing activities, classify them ...
GOLFARELLI, MATTEO, RIZZI, STEFANO
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Data Warehouse Fixer: Fixing Inconsistencies in Data Warehouses

2011 30th International Conference of the Chilean Computer Science Society, 2011
Dimensions in Data Warehouses (DWs) are set of elements connected by a hierarchical relationship. Usually, dimensions are required to be strict and covering to support summarizations at different levels of granularity. A dimension is strict if all they rollup relations are functions, and is covering if every element in a category is connected with an ...
M. Caniupan, A. Placencia
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Data warehouse architecture classification

2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017
The purpose of this study is to give an overlook and comparison of best known data warehouse architectures. Single-layer, two- layer, and three-layer architectures are structure-oriented one that are depending on the number of layers used by the architecture.
Blažić, Gordana, Poščić, Patrizia, Jakšić, Danijela   +2 more
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Deductive Data Warehouses

2019
This chapter presents the concept of “deductive data warehouses.” Deductive data warehouses rely on deductive databases but use a data warehouse in the background instead of a database. The authors show how Datalog, as a logic programming language, can be used to perform on-line analytical processing (OLAP) analysis on data.
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From Data Warehouse to Information Warehouse

Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018
Data and information are different constructs and Data become information when they supply a content from several elements, generating thus a meaning. From this observation, in this paper, we introduce the paradigm of information warehousing and explain our motivation. We propose a generic and original information warehouse architecture for the storage
Hadjer Moulai, Habiba Drias
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Data mining a diabetic data warehouse

Artificial Intelligence in Medicine, 2002
Diabetes is a major health problem in the United States. There is a long history of diabetic registries and databases with systematically collected patient information. We examine one such diabetic data warehouse, showing a method of applying data mining techniques, and some of the data issues, analysis problems, and results.
Joseph L, Breault, Colin R, Goodall, Peter J, Fos   +2 more
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Fundamentals of Data Warehouses

2000
This book presents the first comparative review of the state-of-the-art and the best current practices of data warehouses. It covers source and data integration, multidimensional aggregation, query optimization, metadata management, quality assessment, and design optimization. A conceptual framework is presented by which the architecture and quality of
Jarke Matthias, LENZERINI, Maurizio, Vassiliou Yannis, Vassiliadis Panos   +3 more
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