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Titlebook: Database and Expert Systems Applications; 14th International C Vladimír Ma?ík,Werner Retschitzegger,Olga ?těpánko Conference proceedings 20

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21#
發(fā)表于 2025-3-25 05:06:05 | 只看該作者
22#
發(fā)表于 2025-3-25 07:42:40 | 只看該作者
23#
發(fā)表于 2025-3-25 13:26:38 | 只看該作者
24#
發(fā)表于 2025-3-25 18:36:13 | 只看該作者
25#
發(fā)表于 2025-3-25 22:37:19 | 只看該作者
Conversion as Conception Confusionor XML documents (XML View) to enhance conceptual modelling and designing capabilities of XML based information systems. We focus view definition at the conceptual level and the semantics required in accommodating such view mechanism at this higher level of abstraction.
26#
發(fā)表于 2025-3-26 02:38:28 | 只看該作者
Defining Web Schema Transformers by Exampleeach such application, a corresponding output scheme is then generated..Our transformers can be introduced in various models/tools for web application modelling. We demonstrate this on the example of WebML.
27#
發(fā)表于 2025-3-26 07:54:47 | 只看該作者
Entity Connectivity vs. Hierarchical Levelling as a Basis for Data Model Clustering: An Experimental, which closely matches human perceptions of importance and “chunking" behaviour. No significant results were found for hierarchical level in any of the experiments. The high levels of statistical significance and effect size of the results for connectivity, together with their consistency across di
28#
發(fā)表于 2025-3-26 12:33:13 | 只看該作者
Validation of XML Document Updates Based on XML Schema in XML Databasespdated parts of the XML document in the database. Consequently, XML database systems can maintain valid XML documents at any time. We already proposed an immediate and partial validation mechanism based on DTD[6], and we extend the mechanism based on XML Schema in this paper.
29#
發(fā)表于 2025-3-26 15:39:05 | 只看該作者
30#
發(fā)表于 2025-3-26 18:38:39 | 只看該作者
Bulk Insertion for R-Tree by Seeded Clusteringlk insertion as well as the results from our extensive experimental study. The experimental results show that the . outperforms the previously known methods in terms of insertion cost and the quality of target R-trees measured by their query performance.
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