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关联规则在股票预测中的应用研究
引用本文:吴小珍,黄传华.关联规则在股票预测中的应用研究[J].适用技术之窗,2008(3):21-23.
作者姓名:吴小珍  黄传华
作者单位:南昌大学网络中心,江西南昌330029
摘    要:使用经典Apriori算法,对股票数据进行一维和二维规则的挖掘。针对股票交易的特殊性,提出了使用换手率代替成交量作为数据预处理的对象,引入了平均支持度作为最小支持度进行股票数据的挖掘。实例验证证实了挖掘结果的正确性、有效性。

关 键 词:股票预则  关联规则  换手率  平均支持度

Application Research of Association Rules in Stock Prediction
Wu Xiaozhen Huang Chuanhua.Application Research of Association Rules in Stock Prediction[J].Science & Technology Plaza,2008(3):21-23.
Authors:Wu Xiaozhen Huang Chuanhua
Affiliation:Wu Xiaozhen Huang Chuanhua(Network Center,Nanchang University,Jiangxi Nanchang 330029)
Abstract:The Apriori arithmetic was applied to mine one-dimension and two-dimension stock information. Aiming at the particularity of stock transaction,the paper takes the turnoverration as object of data pre-processing instead of bargain volume and the average supports regarded as the least supports. At last, the results of mining was correct and efficient by experiment.
Keywords:Stock Prediction  Association Rules  Turnoverration  Average Supports
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