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