Latent Business Networks Mining: A Probabilistic Generative Model
Web Intelligence（2012）
摘要
Though numerous research has been devoted to social network discovery and analysis, relatively little research has been conducted on business network discovery. The main contribution of our research is the development of a novel probabilistic generative model for latent business networks mining. Our experimental results confirm that the proposed method outperforms the well-known vector space based model by 24% in terms of AUC value.
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关键词
auc value,learning (artificial intelligence),business network discovery,numerous research,novel probabilistic generative model,latent business network mining,probabilistic generative model,latent dirichlet allocation,semi-supervised machine learning,business networks mining,data mining,well-known vector space,social network discovery,main contribution,business data processing,latent business networks mining,web intelligence,probability
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