潜在商业网络挖掘:一个概率生成模型

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2012-12-04 DOI:10.1109/WI-IAT.2012.195

Wenping Zhang, Raymond Y. K. Lau, Yunqing Xia, Chunping Li, Wenjie Li

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引用次数: 6

摘要

社会网络发现与分析的研究很多，而商业网络发现的研究相对较少。我们研究的主要贡献是开发了一种用于潜在商业网络挖掘的新型概率生成模型。我们的实验结果证实，所提出的方法在AUC值方面优于众所周知的基于向量空间的模型24%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Latent Business Networks Mining: A Probabilistic Generative Model

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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来源期刊

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

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