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Titlebook: Data Mining and Big Data; 7th International Co Ying Tan,Yuhui Shi Conference proceedings 2022 The Editor(s) (if applicable) and The Author(

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樓主: probiotic
31#
發(fā)表于 2025-3-26 22:42:38 | 只看該作者
32#
發(fā)表于 2025-3-27 01:08:38 | 只看該作者
Conference proceedings 2022lume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc..
33#
發(fā)表于 2025-3-27 07:56:33 | 只看該作者
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發(fā)表于 2025-3-27 12:06:39 | 只看該作者
Conference proceedings 2022g, China,?in November 21–24, 2022..The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on?advantages in theories, technologies, and applications in data mining and big data. The vo
35#
發(fā)表于 2025-3-27 14:09:30 | 只看該作者
36#
發(fā)表于 2025-3-27 19:40:54 | 只看該作者
https://doi.org/10.1007/978-3-031-12334-4ion method based on attentive relational state representation establishes an insensitive state representation to permutation and problem scale. In our experiments on Intelligent Joint Operation Simulation, experimental results show that attentive relational state representation improves the baseline performance.
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發(fā)表于 2025-3-27 22:51:22 | 只看該作者
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發(fā)表于 2025-3-28 02:51:48 | 只看該作者
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發(fā)表于 2025-3-28 08:34:52 | 只看該作者
Collective Action for Social Change sharing encoder and graph neural network for structure denoising are learned using an iterative learning schema. Experiments on real-world datasets demonstrate the outperformance of the proposed framework in terms of efficiency and transferability.
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發(fā)表于 2025-3-28 11:35:07 | 只看該作者
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