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International Journal of Data Warehousing and Mining, 2021
With the maturity of crowdsourcing systems, new analysis possibilities appear where volunteers play a crucial role by bringing the implicit knowledge issued from practical and daily experience. At the same time, data warehouse and OLAP systems represent the first citizen of decision-support systems.
Sakka, Amir +3 more
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With the maturity of crowdsourcing systems, new analysis possibilities appear where volunteers play a crucial role by bringing the implicit knowledge issued from practical and daily experience. At the same time, data warehouse and OLAP systems represent the first citizen of decision-support systems.
Sakka, Amir +3 more
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Data Warehouse Fixer: Fixing Inconsistencies in Data Warehouses
2011 30th International Conference of the Chilean Computer Science Society, 2011Dimensions 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 Warehouses Federation as a Single Data Warehouse
2016In this paper author presents an experiment, which shows that it is possible to form a federation of data warehouses that may simulate effectively one, “super” data warehouse. There is no need to create complete ETL tool to load data from source data warehouses into one, dedicated data warehouse.
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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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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, 2018Data 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, 2002Diabetes 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 +2 more
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2017
The fewer data needed, the better the information. And an overload of information…leads to information blackout.
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The fewer data needed, the better the information. And an overload of information…leads to information blackout.
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Data warehouse architecture classification
2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2017The 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 +2 more
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Contextualizing data warehouses with documents
Decision Support Systems, 2008Current data warehouse and OLAP technologies are applied to analyze the structured data that companies store in databases. The context that helps to understand data over time is usually described separately in text-rich documents. This paper proposes to integrate the traditional corporate data warehouse with a document warehouse, resulting in a ...
Perez, Juan Manuel +3 more
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Knowledge discovery in data warehouses
ACM SIGMOD Record, 2000As the size of data warehouses increase to several hundreds of gigabytes or terabytes, the need for methods and tools that will automate the process of knowledge extraction, or guide the user to subsets of the dataset that are of particular interest, is becoming prominent.
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