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Titlebook: Database and Expert Systems Applications; 22nd International C Abdelkader Hameurlain,Stephen W. Liddle,Xiaofang Z Conference proceedings 20

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樓主: Washington
41#
發(fā)表于 2025-3-28 16:45:38 | 只看該作者
Twig Pattern Matching: A Revisiter, using . as a filter may incur other redundant computation. We propose two approaches, namely . and ., which can avoid the redundant computation and can be easily applied to both holistic one-phase and two-phase algorithms. The experiments show that our approach can significantly improve the efficiency by avoiding the redundant computation.
42#
發(fā)表于 2025-3-28 22:48:59 | 只看該作者
43#
發(fā)表于 2025-3-28 23:40:31 | 只看該作者
44#
發(fā)表于 2025-3-29 03:48:54 | 只看該作者
45#
發(fā)表于 2025-3-29 10:20:15 | 只看該作者
Time Response and Basic Feedback Controlical scenario is addressed. The goal is to analyze biosignal data in order to discover patterns of events, expressed in terms of breathing and cardiovascular system time-annotated disorders, which may trigger particular stages of the human central nervous system during sleep.
46#
發(fā)表于 2025-3-29 13:57:14 | 只看該作者
47#
發(fā)表于 2025-3-29 15:35:10 | 只看該作者
E. E. Fetz,D. V. Finocchio,M. A. Baker are not well-suited to the specificities of the manipulated data. We also propose a new way for extracting the context of a concept in a hierarchy. Experiments carried out on real data underline the relevance of our proposal.
48#
發(fā)表于 2025-3-29 20:50:44 | 只看該作者
49#
發(fā)表于 2025-3-30 00:29:33 | 只看該作者
A Temporal Data Mining Framework for Analyzing Longitudinal Dataical scenario is addressed. The goal is to analyze biosignal data in order to discover patterns of events, expressed in terms of breathing and cardiovascular system time-annotated disorders, which may trigger particular stages of the human central nervous system during sleep.
50#
發(fā)表于 2025-3-30 04:58:39 | 只看該作者
Inferring Fine-Grained Data Provenance in Stream Data Processing: Reduced Storage Cost, High Accuracprocessing. The approach has been evaluated on a real dataset and the result shows that our proposed inferring method provides provenance information as accurate as explicit fine-grained provenance at reduced storage consumption.
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