彻底检查 发表于 2025-3-28 16:45:38
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.Charitable 发表于 2025-3-28 22:48:59
http://reply.papertrans.cn/27/2635/263481/263481_42.pngfaddish 发表于 2025-3-28 23:40:31
http://reply.papertrans.cn/27/2635/263481/263481_43.pngBRIDE 发表于 2025-3-29 03:48:54
http://reply.papertrans.cn/27/2635/263481/263481_44.pngObedient 发表于 2025-3-29 10:20:15
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.安心地散步 发表于 2025-3-29 13:57:14
http://reply.papertrans.cn/27/2635/263481/263481_46.png退出可食用 发表于 2025-3-29 15:35:10
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.失误 发表于 2025-3-29 20:50:44
http://reply.papertrans.cn/27/2635/263481/263481_48.png波动 发表于 2025-3-30 00:29:33
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.精致 发表于 2025-3-30 04:58:39
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.