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Titlebook: Database and Expert Systems Applications; DEXA 2018 Internatio Mourad Elloumi,Michael Granitzer,Roland Wagner Conference proceedings 2018 S

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發(fā)表于 2025-3-28 18:19:41 | 只看該作者
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發(fā)表于 2025-3-29 01:38:49 | 只看該作者
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發(fā)表于 2025-3-29 07:46:40 | 只看該作者
https://doi.org/10.1007/978-3-540-74345-3se frameworks, people are easier to manage distributed programming, failures and data partitioning issues. Entity Resolution is a typical application that requires big data processing frameworks, since its time complexity increases quadratically with the input data. In recent years Apache Spark has
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發(fā)表于 2025-3-29 14:16:26 | 只看該作者
Observer-Based Feedback Stabilizationatterns hidden in the graph. On the other hand, there is a lot of data stored on DBMSs that can be potentially analyzed as graphs. External graph data sets can be quickly loaded. It is feasible to load data quickly and that SQL can help prepare graph data sets from raw data. In this paper, we show S
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發(fā)表于 2025-3-29 17:03:43 | 只看該作者
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發(fā)表于 2025-3-29 20:32:57 | 只看該作者
https://doi.org/10.1007/978-3-540-74345-3 large number of features is not capturing the actual relationship between those points. However, objects of similar cluster both often have some common attributes despite the fact that their geometrical distance could be somewhat large. In this study, we proposed a new method that replaced the give
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發(fā)表于 2025-3-30 01:17:51 | 只看該作者
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