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Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model
Joint Authors
Yang, D.-L.
Hsieh, Yu-Lung
Wu, Jungpin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Many real world applications of association rule mining from large databases help users make better decisions.
However, they do not work well in financial markets at this time.
In addition to a high profit, an investor also looks for a low risk trading with a better rate of winning.
The traditional approach of using minimum confidence and support thresholds needs to be changed.
Based on an interday model of trading, we proposed effective profit-mining algorithms which provide investors with profit rules including information about profit, risk, and winning rate.
Since profit-mining in the financial market is still in its infant stage, it is important to detail the inner working of mining algorithms and illustrate the best way to apply them.
In this paper we go into details of our improved profit-mining algorithm and showcase effective applications with experiments using real world trading data.
The results show that our approach is practical and effective with good performance for various datasets.
American Psychological Association (APA)
Hsieh, Yu-Lung& Yang, D.-L.& Wu, Jungpin. 2014. Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1051442
Modern Language Association (MLA)
Hsieh, Yu-Lung…[et al.]. Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1051442
American Medical Association (AMA)
Hsieh, Yu-Lung& Yang, D.-L.& Wu, Jungpin. Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1051442
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051442