CHORD 发表于 2025-3-21 19:49:28

书目名称Machine Learning and Knowledge Discovery in Databases影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0620487<br><br>        <br><br>书目名称Machine Learning and Knowledge Discovery in Databases读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0620487<br><br>        <br><br>

分散 发表于 2025-3-21 23:41:15

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Brocas-Area 发表于 2025-3-22 02:32:17

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愤慨一下 发表于 2025-3-22 05:25:36

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慎重 发表于 2025-3-22 09:38:56

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粘土 发表于 2025-3-22 14:20:03

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焦虑 发表于 2025-3-22 19:21:35

Ranking Researchers Through Collaboration Pattern Analysisrticles follows hidden co-authoring principles as well as temporal dynamics which generate latent and complex collaboration patterns. In this paper, we present an online advanced tool for real-time rankings of computer scientists under these perspectives.

影响深远 发表于 2025-3-23 00:10:39

Exploratory Analysis of Text Collections Through Visualization and Hybrid Biclusteringdiagonal biclustering to extract high-level topics with overlapping bi-clustering to elicit fine-grained topic variants. A hybrid topic treemap visualization gives the analyst an overview of all topics. Coordinated sunburst and heatmap visualizations let the analyst inspect and compare topic variants and access document content on demand.

使增至最大 发表于 2025-3-23 01:55:27

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深陷 发表于 2025-3-23 05:54:49

978-3-319-46130-4Springer International Publishing AG 2016
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查看完整版本: Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Bettina Berendt,Björn Bringmann,Volker Tresp Conference proceed