hector
发表于 2025-3-21 16:28:55
书目名称Discovery of Ill–Known Motifs in Time Series Data影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0281069<br><br> <br><br>书目名称Discovery of Ill–Known Motifs in Time Series Data读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0281069<br><br> <br><br>
Antioxidant
发表于 2025-3-21 23:36:28
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ARIA
发表于 2025-3-22 01:51:24
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伙伴
发表于 2025-3-22 08:07:50
2522-8579 variant and wavelet theory.Provides new directions for the d.This book includes a novel motif discovery for time series, KITE (.ill-Known motIf discovery in Time sE.ries data.), to identify ill-known motifs transformed by affine mappings such as translation, uniform scaling, reflection, stretch, and
是限制
发表于 2025-3-22 11:12:50
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使乳化
发表于 2025-3-22 14:39:31
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使乳化
发表于 2025-3-22 18:45:19
R.C. Dalton,C. Hölscher,H.J. Spiers and extract knowledge from it is growing. This issue is addressed by tasks such as clustering, classification, query by content, anomaly detection, and motif discovery .
全面
发表于 2025-3-23 01:09:14
Book 2022avelet transform applies to motif discovery as well as to several signal and image processing tasks. The efficiency of KITE is demonstrated with data sets from various domains and compared with state-of-the-art algorithms, where KITE yields the best outcomes..
询问
发表于 2025-3-23 01:49:21
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BARB
发表于 2025-3-23 07:17:02
Introduction,mount of data. According to IBM , over 2.5 quintillion bytes of data are created every single day, obtained from different fields such as economics, medicine and epidemiology, industry and telecommunications, geographical and physical science . These data are main