AUGUR 发表于 2025-3-26 20:59:21
http://reply.papertrans.cn/15/1455/145479/145479_31.png诱导 发表于 2025-3-27 04:39:34
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http://reply.papertrans.cn/15/1455/145479/145479_35.pngcleaver 发表于 2025-3-27 18:25:24
Thomas Drosdowski,Marc Ingo Woltere art of transactional rule mining, and applies them to time series. It proposes a new definition of the support, which overcomes the limitations of previous definitions. Experiments on two databases of real data coming from connected environments show that this algorithm extracts relevant usual sit删减 发表于 2025-3-28 00:34:29
https://doi.org/10.1007/978-3-531-94197-4rying. However, when moving objects’ positions update frequently, the existing methods encounter a high update cost. We purpose an index structure for frequent position updates: HGTPU-tree, which decreases cost caused by frequent position updates of moving objects. HGTPU-tree reduces the number of dstress-response 发表于 2025-3-28 02:47:24
http://reply.papertrans.cn/15/1455/145479/145479_38.pngAORTA 发表于 2025-3-28 10:07:14
Sozioökonomische Dynamik der Energiewendets with quantities and weights. Though it has important real-life applications, the current problem definition has two critical limitations. First, it underestimates the utility of episodes by not taking into account all timestamps of minimal occurrences for utility calculations, which can result inOsmosis 发表于 2025-3-28 13:58:53
Thomas Drosdowski,Marc Ingo Wolterto detect similarities across the various signals, which may result in poor clustering results. We propose a method, which first smooths out such noise using wavelet decomposition and thresholding, then reconstructs the original signal . and finally undertakes the clustering on this new signal. We e