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Mining Export Behavior Patterns Based on Enterprise Export Market Network

机译:基于企业出口市场网络的出口行为模式挖掘

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In this paper, we attempted to understand economic system complexity by mining pattern rules hidden in complex economic network. Firstly complex-system approach was to model and analyze enterprise export market networks based on considering enterprise as economical agents with heterogeneity. Secondly, for the purpose to identify interesting patterns hidden in market networks, association rule mining technique was used to analyze datasets integrating nonrelational attributes of agents with relational network data. The empirical study results of China's Guangdong export trade provided a new insight to understand how agent's behavior rules systematically affect the emerging network structure.
机译:在本文中,我们试图通过挖掘隐藏在复杂经济网络中的模式规则来理解经济系统的复杂性。首先,复杂系统方法是在将企业视为具有异质性的经济主体的基础上对企业出口市场网络进行建模和分析。其次,为了识别隐藏在市场网络中的有趣模式,使用关联规则挖掘技术来分析将代理商的非关系属性与关系网络数据集成在一起的数据集。中国广东出口贸易的实证研究结果为了解代理商的行为规则如何系统地影响新兴网络结构提供了新的见解。

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