Modeling, querying and reasoning about OLAP databases: a functional approach
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
A personalization framework for OLAP queries
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Dimensional modeling: identifying, classifying & applying patterns
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Towards a spatial multidimensional model
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Goal-oriented requirement analysis for data warehouse design
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Mapping conceptual to logical models for ETL processes
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
My favorite issues in data warehouse modeling
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Parallel querying of ROLAP cubes in the presence of hierarchies
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Optimizing the incremental maintenance of multiple join views
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
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Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. Much of the interest and success in this area can be attributed to the need for software and tools to improve data management and analysis given the large amounts of information that are being accumulated in corporate as well as scientific databases. However, in spite of the maturity of these technologies, new data needs or applications currently run at companies not only demand more capacity, but also new methods, models, techniques or architectures to satisfy these new needs.