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Titlebook: Reviews of Environmental Contamination and Toxicology Volume 213; David M. Whitacre Book 2011 Springer Science+Business Media, LLC 2011 ec

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發(fā)表于 2025-3-23 12:44:54 | 只看該作者
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發(fā)表于 2025-3-23 16:50:16 | 只看該作者
Ulrike Schulte-Oehlmann,J?rg Oehlmann,Florian Keilal orders. These properties are: reflexivity, transitivity, symmetry, and antisymmetry. We show that symmetry and transitivity together are sufficient to guarantee that the .-error can be computed in polynomial time. However, dropping either of them makes the problem .-complete.
13#
發(fā)表于 2025-3-23 18:31:18 | 只看該作者
s using their namespaces. Producing the summary graph is fast, light on computing resources and requires no previous domain knowledge. The summary graph can be used to analyze the namespace inter-dependencies of the original graph. We also present ., a tool for calculating namespace-based KG summari
14#
發(fā)表于 2025-3-23 22:58:52 | 只看該作者
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發(fā)表于 2025-3-24 03:54:47 | 只看該作者
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發(fā)表于 2025-3-24 08:13:48 | 只看該作者
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發(fā)表于 2025-3-24 12:28:13 | 只看該作者
mender system is a powerful information filtering tool to support user interaction and promote products. Dealing with determining customer interests, graph-based collaborative filtering is recently the most popular technique. Its only drawback is high computing cost, leads to bad scalability and inf
18#
發(fā)表于 2025-3-24 17:06:49 | 只看該作者
Lina Kiaune,Nan Singhasemanonme the classical, too restrictive, satisfaction of FDs, it is possible to replace equality with more meaningful binary predicates, and use a coverage measure such as the .-error to estimate the degree to which a FD matches the data. It is known that the .-error can be computed in polynomial time if
19#
發(fā)表于 2025-3-24 20:55:10 | 只看該作者
20#
發(fā)表于 2025-3-25 02:15:20 | 只看該作者
Marielle Guéguen,Jean-Claude Amiard,Nathalie Arnich,Pierre-Marie Badot,Didier Claisse,Thierry Guérinconcept lattice derived from such a table is a representation of the implicit knowledge about this relationship, where each concept corresponds to a bicluster of objects and attributes. FCA has been widely used for knowledge acquisition and representation, conceptual data analysis, information retri
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