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Titlebook: Web and Big Data; Second International Yi Cai,Yoshiharu Ishikawa,Jianliang Xu Conference proceedings 2018 Springer Nature Switzerland AG 20

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樓主: squamous-cell
41#
發(fā)表于 2025-3-28 17:00:35 | 只看該作者
Map Matching Algorithms: An?Experimental EvaluationWe also report comprehensive findings obtained from the experiments and provide new insights about the strengths and weaknesses of existing map matching algorithms which can guide practitioners to select appropriate algorithms for various scenarios.
42#
發(fā)表于 2025-3-28 22:19:07 | 只看該作者
43#
發(fā)表于 2025-3-29 00:47:34 | 只看該作者
Inferring Regular Expressions with Interleaving from XML Datahe Web. The experimental results show that . can cover more content models than other existing subclasses of regular expressions. And, based on the data sets of ., regular expressions inferred by . are more accurate and concise compared with other existing methods.
44#
發(fā)表于 2025-3-29 05:55:42 | 只看該作者
Inferring Regular Expressions with Interleaving from XML Datahe Web. The experimental results show that . can cover more content models than other existing subclasses of regular expressions. And, based on the data sets of ., regular expressions inferred by . are more accurate and concise compared with other existing methods.
45#
發(fā)表于 2025-3-29 07:39:10 | 只看該作者
46#
發(fā)表于 2025-3-29 12:56:56 | 只看該作者
Matching Consecutive Subpatterns over Streaming Time Series performed on synthetic and real-world datasets to illustrate that our approach outperforms the brute-force method and MSM, a multi-step filter mechanism over the multi-scaled representation by orders of magnitude.
47#
發(fā)表于 2025-3-29 18:23:39 | 只看該作者
48#
發(fā)表于 2025-3-29 22:37:18 | 只看該作者
Discovering Multiple Time Lags of Temporal Dependencies from Fluctuating Eventsfor solving this problem. Then two approximate approaches are proposed for efficiently finding diverse types of time lags without significant loss of accuracy. Extensive empirical studies on both synthetic and real datasets demonstrate the efficiency and effectiveness of our proposed approaches.
49#
發(fā)表于 2025-3-30 00:31:28 | 只看該作者
Predicting Passenger’s Public Transportation Travel Route Using Smart Card Datarify the effectiveness of our model, we conduct extensive experiments using a real dataset which is collected from Brisbane in Australia for four months. The experimental results show that the accuracy of our model is better than baseline models.
50#
發(fā)表于 2025-3-30 07:08:42 | 只看該作者
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