Efficient algorithms for finding maximum matching in graphs
ACM Computing Surveys (CSUR)
Algorithms for clustering data
Algorithms for clustering data
A Theory of Attributed Equivalence in Databases with Application to Schema Integration
IEEE Transactions on Software Engineering
Research problems in data warehousing
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
An overview of data warehousing and OLAP technology
ACM SIGMOD Record
An automatic technique for detecting type conflicts in database schemes
Proceedings of the seventh international conference on Information and knowledge management
Intensional and extensional integration and abstraction of heterogeneous databases
Data & Knowledge Engineering
System-Guided View Integration for Object-Oriented Databases
IEEE Transactions on Knowledge and Data Engineering
View Integration: A Step Forward in Solving Structural Conflicts
IEEE Transactions on Knowledge and Data Engineering
Semantic Dictionary Design for Database Interoperability
ICDE '97 Proceedings of the Thirteenth International Conference on Data Engineering
A Study on the Interaction Between Interscheme Property Extraction and Type Conflict Resolution
IDEAS '00 Proceedings of the 2000 International Symposium on Database Engineering & Applications
COOPIS '99 Proceedings of the Fourth IECIS International Conference on Cooperative Information Systems
Conceptual Design of Data Warehouses from E/R Schema
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences-Volume 7 - Volume 7
Knowledge and Information Systems
Discovering diverse association rules from multidimensional schema
Expert Systems with Applications: An International Journal
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Classical architectures proposed so far for data warehouses show some drawbacks when adopted to work over large numbers of heterogeneous operational sources. In this paper we propose a variant of a three-level architecture for data warehouses that overcomes these drawbacks. However, in the application context under consideration, having a suitable architecture may be not enough for the design purposes. Indeed, data warehouse design in very large operational environments can be a quite hard problem to attack with traditional manual methodologies. In this paper, automatic techniques are also illustrated that are capable to produce the data warehouse design according to the proposed architecture, with a limited human intervention.