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Titlebook: Web and Big Data; 6th International Jo Bohan Li,Lin Yue,Toshiyuki Amagasa Conference proceedings 2023 The Editor(s) (if applicable) and The

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樓主: Corrugate
21#
發(fā)表于 2025-3-25 05:45:17 | 只看該作者
A Temporal-Context-Aware Approach for?Individual Human Mobility Inference Based on?Sparse Trajectorytiment on individual’s mobile behavior is gradually strengthened, so that the temporal context when a check-in occurs can be accurately depicted. We leverage Bayesian Personalized Ranking (BPR) to optimize the model, where a novel negative sampling method is employed to alleviate data sparseness. Ba
22#
發(fā)表于 2025-3-25 10:48:14 | 只看該作者
23#
發(fā)表于 2025-3-25 12:57:39 | 只看該作者
Unsupervised Online Concept Drift Detection Based on?Divergence and?EWMAhm can efficiently detect the concept drift, and the retrained classifier effectively improves the classification accuracy for the subsequent data. Compared with some supervised algorithms, the detection accuracy and classification accuracy are higher for most datasets.
24#
發(fā)表于 2025-3-25 18:03:56 | 只看該作者
25#
發(fā)表于 2025-3-25 23:31:57 | 只看該作者
A Knowledge-Enabled Customized Data Modeling Platform Towards Intelligent Police Applicationsal police data, we built a public security domain knowledge model. Cooperating with the Sucheng branch of Suqian Public Security Bureau, we conducted a set of experiments with police officers on real police data. Experiment results show that the modeling platform has better user-friendliness and out
26#
發(fā)表于 2025-3-26 03:18:26 | 只看該作者
27#
發(fā)表于 2025-3-26 04:23:43 | 只看該作者
28#
發(fā)表于 2025-3-26 11:07:39 | 只看該作者
WSNet: A Wrapper-Based Stacking Network for?Multi-scenes Classification of?DAppsarios, WSNet adaptively selects optimal features for different algorithms to filter out irrelevant and redundant features without human intervention, thereby improving classification efficiency. Combining with stacking technology to integrate advantages of primary learners, hence it has good perform
29#
發(fā)表于 2025-3-26 16:11:10 | 只看該作者
An Energy-efficient Routing Protocol Based on?Two-Layer Clustering in?WSNs of Dijkstra algorithm, the theory of immune algorithm is introduced to obtain the optimal inter-cluster multi-hop routing. The simulation result shows that DKBDCERP has excellent performance in balancing node energy consumption and prolonging network lifetime.
30#
發(fā)表于 2025-3-26 18:42:17 | 只看該作者
An Energy-efficient Routing Protocol Based on?Two-Layer Clustering in?WSNs of Dijkstra algorithm, the theory of immune algorithm is introduced to obtain the optimal inter-cluster multi-hop routing. The simulation result shows that DKBDCERP has excellent performance in balancing node energy consumption and prolonging network lifetime.
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