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Titlebook: Advances in Data Management; Zbigniew W. Ras,Agnieszka Dardzinska Book 2009 Springer-Verlag Berlin Heidelberg 2009 Bayesian network.DBMS.d

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樓主: IU421
31#
發(fā)表于 2025-3-26 22:04:05 | 只看該作者
https://doi.org/10.1007/978-3-642-02190-9Bayesian network; DBMS; data mining; data security; database; intelligence; knowledge discovery; ontology; p
32#
發(fā)表于 2025-3-27 03:49:08 | 只看該作者
33#
發(fā)表于 2025-3-27 08:18:37 | 只看該作者
34#
發(fā)表于 2025-3-27 12:37:48 | 只看該作者
https://doi.org/10.1007/978-1-4613-8436-6etrieval techniques are typically used to retrieve data from the Semantic Web while Information Retrieval techniques are used to retrieve documents from the Hypertext Web. We present a Unified Web model that integrates the two webs and formalizes connection between them. We then present an approach
35#
發(fā)表于 2025-3-27 17:41:36 | 只看該作者
36#
發(fā)表于 2025-3-27 19:18:56 | 只看該作者
37#
發(fā)表于 2025-3-27 22:36:19 | 只看該作者
https://doi.org/10.1007/978-94-015-2850-4enges for academic and industry communities and almost everyone on this planet as well. Due to its huge scale and complexity, one may find that it is impossible to search for simple theories and models for explaining the Web. Instead, more complicated theories and methodologies are needed, so that t
38#
發(fā)表于 2025-3-28 02:53:04 | 只看該作者
,Example – Ship Impacts Against Bridges, Conducting an exploratory analysis of visual representations of this evaluation data enables us to exploit the advantages of the powerful human visual capabilities. This allows us to gain insight into the performance data, interact with it and draw meaningful conclusions about the classifiers and d
39#
發(fā)表于 2025-3-28 08:14:24 | 只看該作者
40#
發(fā)表于 2025-3-28 13:29:35 | 只看該作者
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