Results 251 to 260 of about 23,631,400 (298)
Some of the next articles are maybe not open access.
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 ...
Mónica Caniupán Marileo +1 more
openaire +1 more source
Complements for data warehouses
Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999Views over databases have recently regained attention in the context of data warehouses, which are seen as materialized views. In this setting, efficient view maintenance is an important issue, for which the notion of self-maintainability has been identified as desirable.
Dominique Laurent 0001 +3 more
openaire +1 more source
Proceedings of the Joint EDBT/ICDT 2013 Workshops, 2013
During the development of the data warehouse (DW), too much data is transformed, integrated, structured, cleansed, and grouped in a single structure that is the DW. These various types of changes could lead to data corruption or data manipulation. Therefore, DW testing is a very critical stage in the DW development process.A number of attempts were ...
Neveen ElGamal +2 more
openaire +2 more sources
During the development of the data warehouse (DW), too much data is transformed, integrated, structured, cleansed, and grouped in a single structure that is the DW. These various types of changes could lead to data corruption or data manipulation. Therefore, DW testing is a very critical stage in the DW development process.A number of attempts were ...
Neveen ElGamal +2 more
openaire +2 more sources
Informatik-Spektrum, 2016
Ubersicht Das Ziel eines kDW ist, die fur die Behandlung von Patienten routinemasig erhobenen Daten zusatzlich fur die Forschung und in speziellen Fallen auch fur die Behandlung nutzbar zu machen [1]. Die wesentlichen Schritte umfassen die Anonymisierung bzw.
Thomas Tolxdorff, Frank Puppe
openaire +1 more source
Ubersicht Das Ziel eines kDW ist, die fur die Behandlung von Patienten routinemasig erhobenen Daten zusatzlich fur die Forschung und in speziellen Fallen auch fur die Behandlung nutzbar zu machen [1]. Die wesentlichen Schritte umfassen die Anonymisierung bzw.
Thomas Tolxdorff, Frank Puppe
openaire +1 more source
2013
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel +1 more
openaire +2 more sources
The previous chapter focused on the analysis of the spatial features of static objects such as stores, cities, or states, where by static we mean that the spatial features of these objects do not change (or change exceptionally) across time. However, there is a wide range of applications that require the analysis of the so-called moving objects, that ...
Vaisman, Alejandro Ariel +1 more
openaire +2 more sources
2009
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by several data mining techniques to discover interesting patterns.
David Morgan, Jai W. Kang, James M. Kang
openaire +1 more source
Data warehouses have been widely used in various capacities such as large corporations or public institutions. These systems contain large and rich datasets that are often used by several data mining techniques to discover interesting patterns.
David Morgan, Jai W. Kang, James M. Kang
openaire +1 more source
International Journal of Data Warehousing and Mining, 2014
This paper presents the idea of deductive data warehouses. Deductive data warehouses rely on deductive databases but instead of a database in the background a data warehouse is used. The authors show how Datalog (as a logic programming language) can be used to perform OLAP analysis on data.
openaire +2 more sources
This paper presents the idea of deductive data warehouses. Deductive data warehouses rely on deductive databases but instead of a database in the background a data warehouse is used. The authors show how Datalog (as a logic programming language) can be used to perform OLAP analysis on data.
openaire +2 more sources
The Data Warehouse of Newsgroups
1999Electronic newsgroups are one of the primary means for the dissemination, exchange and sharing of information. We argue that the current newsgroup model is unsatisfactory, especially when posted articles are relevant to multiple newsgroups. We demonstrate that considerable additional flexibility can be achieved by managing newsgroups in a data ...
Himanshu Gupta 0001, Divesh Srivastava
openaire +1 more source
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.
openaire +1 more source
From Traditional Data Warehouse To Real Time Data Warehouse
2017The Traditional data warehouse did not contain data as today. Hence, it is difficult to retrieve these data and treat them. Furthermore, its content is not updated, which may lead to bad decisions. Data are typically loaded from conventional operational systems.
Senda Bouaziz +2 more
openaire +2 more sources