Data Analysis and Prediction of Securities Based on Decision Tree Algorithm

被引：0

作者：

Wei Xiong ^{[1
,2
]}

Xiao Jing ^{[2
]}

Hao ZiMian ^{[2
,3
]}

Lei HongLli ^{[1
]}

机构：

[1] Wuhan Univ Sci & Engn, Wuhan 430072, Hubei, Peoples R China

[2] Wuhan Univ, Wuhan 430072, Hubei, Peoples R China

[3] Hubei Urban Construct Vocat Technol Coll, Wuhan 430072, Hubei, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2 | 2009年

关键词：

information entropy; binary decision tree decision; tree chart;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The decision tree algorithm is one of the data mining methods. Security markets is an important part of our country's financial market. Based on the correct analysis of the security data, selecting proper economic indicators, using the improved algorithm and mining data from the transaction can guard against financial crisis to a certain extent and predict financial trend. The experimental results show that this approach has access to knowledge of great practicable value.

引用

页码：83 / +

页数：2

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