Data warehouses store large volumes of data according to a multidimensional model with dimensions representing different axes of analysis. OLAP systems (OnLine Analytical Processi...
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Multidimensional modeling requires specialized design techniques. Though a lot has been written about how a data warehouse should be designed, there is no consensus on a design me...
One of the most important tasks performed in the early stages of a data warehouse project is the analysis of the structure and content of the existing data sources and their inten...
In many information systems, the databases that make up the system are distributed in different modules or branch offices according to the requirements of the business enterprise. ...
XML is suitable for structuring complex data coming from different sources and supported by heterogeneous formats. It allows a flexible formalism capable to represent and store d...
Utility provisioning, Grid resource management, instant copy kiosks, and network transfers provide an exciting new paradigm for data warehouse functions. Grid technologies are fas...
In this paper, we deal with the problem of performing what-if analysis for changes that occur in the schema/structure of the data warehouse We abstract software modules, queries, r...
George Papastefanatos, Panos Vassiliadis, Alkis Si...
: The emerging trend towards seamless monitoring of all business processes via comprehensive sensor networks – in particular RFID readers – creates new data management challeng...
One of the most considerable functions in a hospital's infection control program is the surveillance of antibiotic resistance. Several traditional methods used to measure it ...
Eugenia G. Giannopoulou, Vasileios P. Kemerlis, Mi...