计算机与现代化Issue(10)：21-24,4.DOI:10.3969/j.issn.1006-2475.2015.10.005
基于 C4．5决策树的股票数据挖掘
Stock Data Mining Based on C4.5 Decision Tree
王领 1胡扬1
作者信息
- 1. 四川大学计算机学院，四川 成都 610065
- 折叠
摘要
Abstract
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 deci-sion 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.关键词
数据挖掘/决策树/技术指标/C4 .5/股票预测Key words
data mining/decision tree/indicators/C4.5/stock forecasting分类
信息技术与安全科学引用本文复制引用
王领,胡扬..基于 C4．5决策树的股票数据挖掘[J].计算机与现代化,2015,(10):21-24,4.
