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Titlebook: Data Science; 30th British Interna Sebastian Maneth Conference proceedings 2015 Springer International Publishing Switzerland 2015 Web data

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樓主: Hermit
31#
發(fā)表于 2025-3-26 21:43:22 | 只看該作者
Complete Denture Prosthodonticsghly heterogeneous: different datasets may describe overlapping domains, using different approaches to data modelling and naming. A single global ontological conceptualisation is impracticable, and instead a more extensible approach is needed for semantic integration of heterogeneous Linked Data sets into a global data space.
32#
發(fā)表于 2025-3-27 01:22:15 | 只看該作者
33#
發(fā)表于 2025-3-27 06:34:25 | 只看該作者
Implementing Peer-to-Peer Semantic Integration of Linked Dataghly heterogeneous: different datasets may describe overlapping domains, using different approaches to data modelling and naming. A single global ontological conceptualisation is impracticable, and instead a more extensible approach is needed for semantic integration of heterogeneous Linked Data sets into a global data space.
34#
發(fā)表于 2025-3-27 13:07:49 | 只看該作者
35#
發(fā)表于 2025-3-27 14:11:27 | 只看該作者
Conference proceedings 2015ed.keynotes and three invited lectures were carefully reviewed and selected from 37 submissions. Special focus of the conference has been "Data Science" and so the papers cover a wide range of topics related to databases and data-centric computation..
36#
發(fā)表于 2025-3-27 19:32:18 | 只看該作者
Digital Project Management Best Practicesmmaries are aimed as a help for query formulation and optimization. We introduce two summaries: a . which is compact and simple and satisfies certain accuracy and representativeness properties, but may oversimplify the RDF graph, and a . one which trades some of these properties for more accuracy in representing the structure.
37#
發(fā)表于 2025-3-27 22:23:59 | 只看該作者
38#
發(fā)表于 2025-3-28 02:14:44 | 只看該作者
39#
發(fā)表于 2025-3-28 08:27:39 | 只看該作者
40#
發(fā)表于 2025-3-28 14:19:09 | 只看該作者
Evaluation Measures for Event Detection Techniques on Twitter Data Streamsnd qualitative comparison of event detection techniques. In order to demonstrate the effectiveness of these measures, we apply them to state-of-the-art event detection techniques as well as baseline approaches using real-world Twitter streaming data.
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