| 基于PSO的关联规则挖掘方法及应用 |
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| 引用本文： | 王晓敏,刘希玉,戴芬.基于PSO的关联规则挖掘方法及应用[J].信息技术与信息化,2009(3):85-87. |
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| 作者姓名： | 王晓敏 刘希玉 戴芬 |
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| 作者单位： | 1. 山东师范大学信息科学与工程学院,山东济南,250014
2. 山东师范大学管理与经济学院,山东济南,250014 |
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| 基金项目： | 国家自然科学基金重大项目，山东省自然科学基金重大项目，泰山学者建设工程专项经费资助项目，山东省教育厅计划项目 |
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| 摘 要： | 本文简要描述了关联规则问题及二进制粒子群优化算法(Binary Particle Swarm Optimization,BPSO),提出了一种基于粒子群优化算法的关联规则挖掘算法.仿真试验研究了关联规则在股市走势中的应用,选取相对强弱指标RSI,收集交易数据进行实证分析,得出若干条有用的关联规则.
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| 关 键 词： | 粒子群优化算法 关联规则 股市走势分析 |
Method and Application of Mining Association Rules Based on PSO Algorithm |
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| WANG Xiao-min,LIU Xi-yu,DAI Fen.Method and Application of Mining Association Rules Based on PSO Algorithm[J].Information Technology & Informatization,2009(3):85-87. |
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| Authors: | WANG Xiao-min LIU Xi-yu DAI Fen |
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| Abstract: | Association rules and binary particle swarm optimization is described in this paper,and an algorithm based on particle swarm optimization algorithm is proposed for mining association rules.Simulation experiments were conducted to study the application of association rules in the stock market trend,the Relative Strength Index RSI is selected,and the transaction data is collected for empirical analysis,in the end,several useful association rules is proposed.The simulation results show that running time of the... |
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| Keywords: | PSO algorithm Association rules Stock market trend analysis |
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