By Henri Prade, V.S. Subrahmanian
This publication constitutes the refereed court cases of the 1st foreign convention on Scalable Uncertainty administration, SUM 2007, held in Washington, DC, united states, in Oktober 2007.
The 20 revised complete papers awarded have been conscientiously reviewed and chosen from quite a few submissions for inclusion within the ebook. The papers tackle synthetic intelligence researchers, database researchers, and practitioners to illustrate theoretical thoughts required to regulate the uncertainty that arises in huge scale genuine global purposes. The papers take care of the next subject matters: uncertainty versions, probabilistic logics, fuzzy logics, and annotated logics, inconsistency logics, database algebras and calculi, scalable database structures, spatial, temporal, cellular and multimedia databases, in addition to implementations, and applications.
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Additional resources for Scalable Uncertainty Management: First International Conference, SUM 2007, Washington, DC, USA, October 10-12, 2007, Proceedings
Bordogna, G. , Bordogna, G. : Modeling and Representation of Uncertain Temporal Information. Requirements Eng. : A simple general structure for temporal domains. In: Proc. de IFIP Working Conference on Temporal Aspects in Information Systems, pp. 17–28. : Fuzzy Sets for the representation of the spatial and temporal dimensions in GIS databases. , Bordogna, G. : Supporting Valid-Time Indeterminacy. ACM Trans. : Fuzzy Numbers. An Overview. ) The Analysis of Fuzzy Information. : Calendar: Humanity’s Epci Struggle to Determine a True and Accurate Year.
GEFRED: A Generalized Model of Fuzzy Relational Databases. : Towards the Implementation of a Generalized Fuzzy Relational Database Model. : Extensions to SQL for historical databases. : The temporal Query language TQuel. , et al. ): The TSQL2 temporal query language. : Transitioning Temporal Support in TSQL2 to SQL3. , Sripada, S. ) Temporal Databases: Research and Practice. LNCS, vol. 1399, pp. 150–194. : Temporal Databases: Theory, Design and Implementation. : Eﬀective Timestamping in Databases.
As a result of this operation, a modiﬁcation to the old version of the tuple is needed by changing some of the parameters that deﬁne it. As a consequence of our approach, the queries return a set of tuples together with a fulﬁllment degree when a query A Fuzzy Set-Based Approach to Temporal Databases 43 is made on these fuzzy temporal data. The paper also analyzes the diﬀerent types of queries that can be made on these data. ) and considering a wider range of temporal data. We are also studying the problem of primary keys in the presence of fuzzy intervals instead of VST and VET attributes and trying to ﬁnd out new indexing techniques that take the new primary keys into account.