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Titlebook: Advances in Intelligent Data Analysis XVII; 17th International S Wouter Duivesteijn,Arno Siebes,Antti Ukkonen Conference proceedings 2018 S

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發(fā)表于 2025-3-25 06:49:13 | 只看該作者
978-3-030-01767-5Springer Nature Switzerland AG 2018
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發(fā)表于 2025-3-25 09:46:25 | 只看該作者
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發(fā)表于 2025-3-25 14:12:14 | 只看該作者
Classifying Phenomena and Data,ed communities and overcomes some weaknesses of existing cohesive structures. Experimental results demonstrate the effectiveness and efficiency of our overlapping community model in a variety of real graphs.
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發(fā)表于 2025-3-25 18:52:37 | 只看該作者
https://doi.org/10.1007/1-4020-3345-1rch software development. Drawing insights from a decade of community engagement, I propose the concept of ., which refers to the new forms of research enabled by open data, open methods, and open collaboration.
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發(fā)表于 2025-3-25 23:16:18 | 只看該作者
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發(fā)表于 2025-3-26 01:38:04 | 只看該作者
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發(fā)表于 2025-3-26 16:18:38 | 只看該作者
Conference proceedings 2018ll papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems..
30#
發(fā)表于 2025-3-26 18:48:16 | 只看該作者
0302-9743 The 29 full papers presented in this book were carefully reviewed and selected from 65 submissions. The papers cover all aspects of intelligent data analysis, including papers on intelligent support for modeling and analyzing data from complex, dynamical systems..978-3-030-01767-5978-3-030-01768-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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