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Evidential Integration of Semantically Heterogeneous Aggregates in Distributed Databases with Imprecision.
- Source :
- Intelligent Data Engineering & Automated Learning - IDEAL 2006; 2006, p961-969, 9p
- Publication Year :
- 2006
-
Abstract
- The mass function of evidential theory provides a means of representing ignorance in lack of information. In this paper we propose mass function models of aggregate views held as summary tables in a distributed database. This model particularly suits statistical databases in which the data usually presents imprecision, including missing values and overlapped categories of aggregate classification. A new aggregation combination operator is developed to accomplish the integration of semantically heterogeneous aggregate views in such distributed databases. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540454854
- Database :
- Complementary Index
- Journal :
- Intelligent Data Engineering & Automated Learning - IDEAL 2006
- Publication Type :
- Book
- Accession number :
- 32914244
- Full Text :
- https://doi.org/10.1007/11875581_115