Title :
Analyses the Financial Data of Stocks Based Rough Set Theory
Author_Institution :
Inf. Eng. Coll., Tianjin Univ. of Commerce, Tianjin, China
Abstract :
Rough set is a new mathematical theory for dealing with vagueness and uncertainty. This study, for the purpose of providing decision support for stock traders, analyzes the financial data of stocks with the rough set theory and grades the data according to their significance for the market performance of stocks. The key tasks include: creation of the stock trading data set, pre-processing of stock trading data, analysis of the financial data set with the data mining software suite, analytical results and positivism, and conclusions. The experimental results and empirical results of the study indicate that this study provides an easy way for participants in the securities market in selecting stocks.
Keywords :
data mining; decision support systems; financial data processing; rough set theory; stock markets; data mining software suite; decision support; rough set theory; securities market; stock traders; stocks financial data; Educational institutions; Indexes; Rough sets; Security; Software; Stock markets; china stock market; financial indicators; rough sets;
Conference_Titel :
Computational Intelligence and Security (CIS), 2012 Eighth International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-4725-9
DOI :
10.1109/CIS.2012.93