In collaborative e-commerce environments, interoperation is a prerequisite for data warehouses that are physically scattered along the value chain. Adopting system and information...
The effort of data mining, especially in relation to association rules in real world business applications, is significantly important. Recently, association rules algorithms have ...
Queries to data warehouses often involve hundreds of complex aggregations over large volumes of data, and so it is infeasible to compute these queries by scanning the data sources ...
The DWS (Data Warehouse Striping) technique allows the distribution of large data warehouses through a cluster of computers. The data partitioning approach partition the facts tab...
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
Healthcare organisations practicing evidence-based medicine strive to unite their data assets in order to achieve a wider knowledge base for more sophisticated research as well as...
Abstract. A federated data warehouse is a logical integration of data warehouses applicable when physical integration is impossible due to privacy policy or legal restrictions. In ...
Marko Banek, Boris Vrdoljak, A. Min Tjoa, Zoran Sk...
Data stored in a data warehouse are inherently multidimensional, but most data-pruning techniques (such as iceberg and top-k queries) are unidimensional. However, analysts need to...
Extract-Transform-Load (ETL) activities are software modules responsible for populating a data warehouse with operational data, which have undergone a series of transformations on...
XML data warehouses form an interesting basis for decisionsupport applications that exploit heterogeneous data from multiple sources. However, XML-native database systems currentl...