Daguerreotype 发表于 2025-3-21 16:09:49
书目名称Advances in Knowledge Discovery and Management影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0148656<br><br> <br><br>书目名称Advances in Knowledge Discovery and Management读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0148656<br><br> <br><br>横条 发表于 2025-3-21 23:40:54
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Fabrice Guillet,Bruno Pinaud,Gilles VenturiniPresents representative and novel works done in Data Science, Semantic Web, Clustering and Classification.Offers expanded and reworked versions of selected papers presented at the EGC 2014 and EGC 201礼节 发表于 2025-3-22 06:01:26
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Jean-Marc Rickli,Marcello Iencalicity and performance when the strong assumption of conditional independence is valid. Variable selection and model averaging are two common ways to improve this model. This process leads to manipulate a weighted naïve Bayes classifier. We focus here on direct estimation of weighted naïve Bayes clafilial 发表于 2025-3-22 13:50:46
Imaging of Atherosclerosis with 18F-FDG PET involving outliers. Indeed, many real-world datasets, for instance from ad sales websites, contain odd data and it is important to limit the impact of such odd data (outliers) on the result of skyline queries, and prevent them from hiding more interesting points. The approach we propose relies on t纠缠,缠绕 发表于 2025-3-22 17:04:33
Faiq Shaikh,Benjamin Franc,Francisca Mulero movements are considered. Furthermore, this feature vector evolves during the movement performance so that a complete movement is fully represented by a matrix . of size ., whose element . represents the value of feature . at timestamps .. Many studies have addressed dimensionality reduction considInsensate 发表于 2025-3-22 23:56:01
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