The Application of Association Rules in Data Analysis of Securities System

被引：0
|
作者：
Zhang, Sheng [1 ]
Huang, Liang [1 ]
Cai, Hong [1 ]
Chu, Bo [1 ]
机构：
[1] Nanchang Hangkong Univ, Coll Informat Engn, Nanchang 330063, Jiangxi, Peoples R China
来源：
FUZZY SYSTEMS, KNOWLEDGE DISCOVERY AND NATURAL COMPUTATION SYMPOSIUM (FSKDNC 2013) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to Japan's Financial Instruments and Exchange Act, a data analysis algorithm is put forward for the short-term securities trading data with association rules. This algorithm analyses the history transaction data for appointed stocks in specific period, calculates some key indicators, such as the remaining quantity of exchange, the gain and losses of exchange, etc. Then the analysis results will be provided to relevant expert for judgment of whether an illegal exchanging happened. This analysis algorithm not only mines the specific functional information exactly, but also is easy to operate.
引用
收藏
页码：25 / 32
页数：8
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