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Titlebook: Advances in Knowledge Discovery and Data Mining; 19th Pacific-Asia Co Tru Cao,Ee-Peng Lim,Hiroshi Motoda Conference proceedings 2015 Spring

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https://doi.org/10.1007/978-3-031-45249-9or Graph (.) model is proposed for prediction, and . is used to reduce the factor graph scale and keep the prediction performance at the same time. Experiments on two real social networks, i.e., Twitter and Foursquare show that . model works well when users leave little data in target network.
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https://doi.org/10.1007/978-3-642-71204-3ial search companies. Our evaluation results show that the proposed approach is promising on both large data sets. Under the four proposed strategies, we achieve the high performance as 95.73% in terms of Precision, 97.79% in terms of the F1 measure.
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Maximizing Friend-Making Likelihood for Social Activity OrganizationChinese discourse, the book is a valuable resource for anyone interested in discourse analysis and Chinese special sentential structures, especially the formalapproaches to these issues..978-981-15-8668-2978-981-15-8666-8
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Influence Maximization Across Partially Aligned Heterogenous Social Networkslls, from the mouth, through our intestines and then within the different organs in our body. We will discuss metabolic and evolutionary reasons why so many people today struggle with excessive weight gain, and978-3-030-50967-5978-3-030-50968-2
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Multiple Factors-Aware Diffusion in Social Networkscontents: .How and where does violence originate in our brain?.Why has a tendency towards violence become established as part of our behavioural repertoire in the development of humankind?.What influences on pe978-3-030-81791-6978-3-030-81792-3
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