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Titlebook: Database and Expert Systems Applications; 4th International Co Vladimír Ma?ík,Ji?í La?ansky,Roland R. Wagner Conference proceedings 1993 Sp

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11#
發(fā)表于 2025-3-23 11:22:11 | 只看該作者
12#
發(fā)表于 2025-3-23 16:25:23 | 只看該作者
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發(fā)表于 2025-3-23 21:08:21 | 只看該作者
14#
發(fā)表于 2025-3-24 01:17:20 | 只看該作者
Risk of Seizure During Pregnancysh between update autonomous, semi-autonomous, and non-autonomous multidatabase systems. In the semi-autonomous environments one problem is the inter-site correctness problem, i.e. that a mix of pre-existing local and global transactions might not enforce any unique global consistency or might viola
15#
發(fā)表于 2025-3-24 04:54:32 | 只看該作者
16#
發(fā)表于 2025-3-24 07:15:26 | 只看該作者
Tracheostomy in the ICU : Early or Late?nal database management systems. This paper presents a front-end implementation of the . proposed in a previous study for efficient management of derived data. Empirical results obtained in this study demonstrate that selective materialization can be very cost effective compared to current approache
17#
發(fā)表于 2025-3-24 11:51:42 | 只看該作者
Controversies in Diabetes and Pregnancy fundamental one for developing KOSI which is one of sub-systems of the GLS discovery system implemented by us. In this model, the process of discovering the functional relations from databases is a process based on incipient hypothesis generation and evaluation, and AI techniques and statistical me
18#
發(fā)表于 2025-3-24 18:55:15 | 只看該作者
19#
發(fā)表于 2025-3-24 20:12:23 | 只看該作者
https://doi.org/10.1007/978-1-4471-3142-785], [POK89]), [POK90]) as a basic modeling construct is used. The presented results show how to deal exactly with so called semantic relativism, i.e how to express that two different semantic database models have the same expressive power. We show that it is easy to reach the property for many of well-known semantic database models.
20#
發(fā)表于 2025-3-25 02:29:47 | 只看該作者
Percutaneous Stone Removal TechniquesIn this paper, we define . as a data structure that gives the meaning and the environmental information of the detail data, and discuss two of its main features-. and .. Then we propose a Context Model that unifies detail, meta and contextual data. We also discuss a Context-oriented query mechanism and illustrate the model by query examples.
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