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Titlebook: Computational Data and Social Networks; 8th International Co Andrea Tagarelli,Hanghang Tong Conference proceedings 2019 Springer Nature Swi

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发表于 2025-3-21 16:43:09 | 显示全部楼层 |阅读模式
书目名称Computational Data and Social Networks
副标题8th International Co
编辑Andrea Tagarelli,Hanghang Tong
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Data and Social Networks; 8th International Co Andrea Tagarelli,Hanghang Tong Conference proceedings 2019 Springer Nature Swi
描述.This book constitutes the refereed proceedings of the 8th International Conference on Computational Data and Social Networks, CSoNet 2019, held in Ho Chi Minh City, Vietnam, in November 2019...The 22 full and 8 short papers presented in this book were carefully reviewed and selected from 120 submissions. The papers appear under the following topical headings: Combinatorial Optimization and Learning; Influence Modeling, Propagation, and Maximization; NLP and Affective Computing; Computational Methods for Social Good; and User Profiling and Behavior Modeling..
出版日期Conference proceedings 2019
关键词approximation algorithms; artificial intelligence; computational linguistics; computer networks; data mi
版次1
doihttps://doi.org/10.1007/978-3-030-34980-6
isbn_softcover978-3-030-34979-0
isbn_ebook978-3-030-34980-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Zahlensysteme und das Klassenzahl-Problem, primitive for a wide range of graph analyses, but it has been rarely studied in probabilistic graphs, especially in a distributed environment. In this work, under a distributed model underlying Pregel and live distributed systems, we present the first known distributed solutions for core decomposit
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Das zehnte Hilbertsche Problem,.g., information on certain targets), each agent is defined by a vector of their desirable information, called ., and a vector of available information, called .. The agents seek to build a directed network that maximizes the value of the desirable source-information that reaches each agent having b
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Was ist ein Elementarteilchen?, variety of different schemes for outlier detection. However, most of the existing methods work with numeric data sets. And these methods cannot be directly applied to categorical data sets because it is not straightforward to define a practical similarity measure for categorical data. Furthermore,
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,Chaos und der Laplacesche Dämon, language processing, image recognition, machine translation, etc. Neural networks are often applied to binary or multi-class classification problems. In these settings, cross-entropy is used as a loss function for neural network training. In this short note, we propose an extension of the concept o
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The structure and nomenclature of steroids, .. The problem is proved to be NP-hard [.]. In a recent industrial application, we encountered a more general variant of MDSP that extends the neighborhood relationship as follows: a vertex is a .-neighbor of another if there exists a linking path through no more than . edges between them. This pro
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Analysis of Androgens and Their Derivatives,s are satisfied while minimizing the response time. Centrality Measures have been proved to be a salient computational science tool to find important nodes in networks. With increasing complexity and vividness in the network analysis problems, there is a need to modify the existing traditional centr
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