计算机工程与应用Issue(24)：116-121,6.DOI:10.3778/j.issn.1002-8331.1308-0005
智能知识地图挖掘数据的金融危机早期预警
Data mining based on intelligent knowledge map for financial crisis early warning
摘要
Abstract
For the issue that the traditional fuzzy cognitive map and knowledge map have inefficient data mining and low pre-dictability, data mining based on intelligent Knowledge Map(KM)is proposed. Paired variables are used to construct scatter dia-gram by discrete and mapping from original data. Quad fuzzy association rules are defined based on which knowledge map is constructed. Numbers of linked nodes are used to recognize central node and inactive nodes. Uncertainty of the system structure is estimated by static analysis, and evaluation process of major KM attributes is uncovered by time-domain analysis. Then effi-ciency of proposed method has been verified by analysis on financial data of 50 index companies in Shanghai Stock. Experi-ments results show that the proposed method has perfect predicting effect on financial crisis warning, which provides a powerful crisis warning tool for deciders controlling operating condition of company.关键词
智能知识地图/数据挖掘/金融危机预警/静态分析/时域分析Key words
intelligent knowledge map/data mining/financial crisis warning/static analysis/time-domain analysis分类
信息技术与安全科学引用本文复制引用
吴小菁..智能知识地图挖掘数据的金融危机早期预警[J].计算机工程与应用,2013,(24):116-121,6.基金项目
福建省科技支撑计划项目（No.102102210419）。 （）
