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Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin

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發(fā)表于 2025-3-28 17:51:12 | 只看該作者
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發(fā)表于 2025-3-29 01:07:12 | 只看該作者
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發(fā)表于 2025-3-29 04:45:32 | 只看該作者
Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksmethods cannot effectively identify the causes of network faults in the face of increasing network data. In this paper, we propose a root-cause-analysis method based on distributed data mining (DRCA). Firstly, we put forward an improved decision tree, where the selection of the best split-feature is
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發(fā)表于 2025-3-29 07:13:41 | 只看該作者
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發(fā)表于 2025-3-29 13:11:01 | 只看該作者
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發(fā)表于 2025-3-29 17:29:23 | 只看該作者
Combining Node Identifier Features and Community Priors for Within-Network Classification. score up?to 14%, 21% and 14% higher than competing methods respectively in sparsely labeled networks. The experiment results show that our approach is quite efficient and suitable for large-scale real-world classification tasks.
48#
發(fā)表于 2025-3-29 21:28:02 | 只看該作者
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發(fā)表于 2025-3-29 23:52:22 | 只看該作者
An Active Learning Approach to Recognizing Domain-Specific Queries From Query Logned through interactive human supervision. Experimental results demonstrate that the proposed approach is capable of recognizing a certain amount of high-quality domain-specific queries with only a small number of manually annotated queries.
50#
發(fā)表于 2025-3-30 06:25:23 | 只看該作者
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