Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
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
Caching multidimensional queries using chunks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Encoded Bitmap Indexing for Data Warehouses
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Selection of Views to Materialize in a Data Warehouse
ICDT '97 Proceedings of the 6th International Conference on Database Theory
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
On the Computation of Multidimensional Aggregates
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
From a Procedural to a Visual Query Language for OLAP
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
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A data warehouse integrates large amounts of extracted and summarized data from multiple sources for direct querying and analysis. While it provides decision makers with easy access to such historical and aggregate data, the real meaning of the data has been ignored. For example, "Whether a total sales amount 1000 items indicates a good or bad sales performance is still unclear." From the decision makers' point of view, the semantics rather than raw numbers which convey the meaning of the data is very important. In this paper, we explore fuzzy technology to provide this semantics for the summarizations and aggregates developed in data warehousing systems. A three-layered data summarization architecture, namely, quantitative (numerical) summarization, qualitative (categorical) summarization, and quantifier summarization, is proposed. To facilitate the construction of these three summarization levels, two operators are introduced. We provide query capabilities against such enhanced data warehouses by extensions of SQL.