计算机与数字工程2018，Vol.46Issue(3)：454-458,5.DOI:10.3969/j.issn.1672-9722.2018.03.007
基于改进的Apriori算法和遗传算法的股市挖掘模型
Mining Model of Stock Market Based on Improved Apriori Algorithm and Genetic Algorithm
摘要
Abstract
When Apriori algorithm is applied,scanning the database repeatedly and excessive IO interface operation require much time and energy.Apriori algorithm was improved by the thinking of using space instead of time.Genetic algorithm with the ca?pability of solving the global can solve the problems that exist in the mining association rules based on Apriori algorithm,such as misleading rules and weak association rules.Genetic algorithm added with the understanding concept was used in the mining associa?tion rules by improved Apriori algorithm.This composite model was applied to the stock market in China at present by providing a lot of practical association rules which were good guidance for buying and selling stocks.关键词
Apriori算法/遗传算法/关联规则/中国股市/挖掘模型Key words
Apriori algorithm/genetic algorithm/association rules/China stock market/mining model分类
信息技术与安全科学引用本文复制引用
何云峰..基于改进的Apriori算法和遗传算法的股市挖掘模型[J].计算机与数字工程,2018,46(3):454-458,5.
