Corrugate
发表于 2025-3-21 19:38:16
书目名称Web and Big Data影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK1021669<br><br> <br><br>书目名称Web and Big Data读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK1021669<br><br> <br><br>
可用
发表于 2025-3-21 23:56:33
A Context Model for Personal Data Streamsotations, as they can be collected from mobile devices, e.g. smartphones, smartwatches or fitness trackers. The proposed model is validated on a very large dataset about the everyday life of one hundred and fifty-eight people over four weeks, twenty-four hours a day.
Evacuate
发表于 2025-3-22 03:40:54
978-3-031-25157-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
ingrate
发表于 2025-3-22 05:05:26
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焦虑
发表于 2025-3-22 10:29:37
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Coeval
发表于 2025-3-22 16:38:32
https://doi.org/10.1007/978-3-031-25158-0artificial intelligence; bandwidth; communication systems; computer hardware; computer networks; computer
灰姑娘
发表于 2025-3-22 17:19:28
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后天习得
发表于 2025-3-23 00:54:22
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改正
发表于 2025-3-23 02:09:08
MCSketch: An Accurate Sketch for Heavy Flow Detection and Heavy Flow Frequency Estimationer accuracy than existing algorithms for heavy flow detection. Moreover, MCSketch reduces the average relative error by approximately 1 to 3 orders of magnitude in comparison to other state-of-art approaches.
易受刺激
发表于 2025-3-23 07:03:46
MCSketch: An Accurate Sketch for Heavy Flow Detection and Heavy Flow Frequency Estimationer accuracy than existing algorithms for heavy flow detection. Moreover, MCSketch reduces the average relative error by approximately 1 to 3 orders of magnitude in comparison to other state-of-art approaches.