挖掘关联隐含网络:计算市场间分析

2002 IEEE International Conference on Data Mining, 2002. Proceedings. Pub Date : 2002-12-09 DOI:10.1109/ICDM.2002.1184030

P. W. Tse, Jiming Liu

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引用次数: 3

摘要

目前分析国际金融市场的尝试包括使用金融技术分析和数据挖掘技术。在本文中，我们提出了一种结合隐含网络和关联规则形成关联网络结构的新方法。拟议的方法明确地解决了金融市场之间的本地影响与全球影响的问题。

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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Mining associated implication networks: computational intermarket analysis

Current attempts to analyze international financial markets include the use of financial technical analysis and data mining techniques. In this paper, we propose a new approach that incorporates implication networks and association rules to form an associated network structure. The proposed approach explicitly addresses the issue of local vs. global influences between financial markets.

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2002 IEEE International Conference on Data Mining, 2002. Proceedings.

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