DocumentCode :
2460238
Title :
An Effective Mining Algorithm for Profit Mining
Author :
Hsieh, Yu-Lung ; Yang, Don-Lin ; Hsu, Fang Rong
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung, Taiwan
fYear :
2012
fDate :
4-6 June 2012
Firstpage :
106
Lastpage :
110
Abstract :
Association rule mining can be used to discover interesting rules from large databases easily for better decision making in most real world applications except the financial market. This is because the investors are interested in high profit and low risk trading results more than in those of high confidence and high support. Based on a working model of profit mining, we propose an effective algorithm for investors to find trading rules that include information on profit, risk, and win rate. This mining approach works well not only in the stock market, but also in the futures and other markets.
Keywords :
data mining; decision making; financial data processing; investment; profitability; risk analysis; stock markets; association rule mining; decision making; financial market; investors; large databases; low risk trading; mining algorithm; profit mining; rule discovery; stock market; trading rules; win rate; Association rules; Equations; Itemsets; Mathematical model; Stock markets; association rule; financial data mining; inter-transaction mining; interday trading; profit mining; risk; win rate;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
Type :
conf
DOI :
10.1109/IS3C.2012.36
Filename :
6228259
Link To Document :
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