摘要
由于目前利用数据挖掘算法对股票分析和预测存在数据量及技术指标等方面的问题,本文基于对股市数据的分析,适当选取某些指标作为决策属性,利用C4.5决策树分类算法进行分类预测。主要对股票技术指标进行介绍和优化,对C4.5算法的效率进行改进。改进后的算法结合优化的技术指标不仅能够提高数据挖掘的执行效率,同时也能在股票预测方面得到更高的收益。
Using data mining algorithms to analze and forecast the stock still has problems in technical indicators and quantity of data. Based on the analysis of stock market data,this paper selected certain indicators as decision attribute,and used C4. 5 decision tree to classify and forecast the stock. This article mainly optimized the indicators of stock,and improved the efficiency of C4. 5 algorithm. Optimized algorithm combining with improved indicators not only enhances the efficiency of data mining,also gets better returns in stock forecasting.
出处
《计算机与现代化》
2015年第10期21-24,共4页
Computer and Modernization
