Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model
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...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/874825 |
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| _version_ | 1832554153066364928 |
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| author | Yu-Lung Hsieh Don-Lin Yang Jungpin Wu |
| author_facet | Yu-Lung Hsieh Don-Lin Yang Jungpin Wu |
| author_sort | Yu-Lung Hsieh |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-61cdd04ef3c549c39b9ab59c5980a433 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-61cdd04ef3c549c39b9ab59c5980a4332025-02-03T05:52:11ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/874825874825Effective Application of Improved Profit-Mining Algorithm for the Interday Trading ModelYu-Lung Hsieh0Don-Lin Yang1Jungpin Wu2Department of Information Engineering and Computer Science, Feng Chia University, No. 100, Wenhwa Road, Taichung 40724, TaiwanDepartment of Information Engineering and Computer Science, Feng Chia University, No. 100, Wenhwa Road, Taichung 40724, TaiwanDepartment of Statistics, Feng Chia University, No. 100, Wenhwa Road, Taichung 40724, TaiwanMany 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.http://dx.doi.org/10.1155/2014/874825 |
| spellingShingle | Yu-Lung Hsieh Don-Lin Yang Jungpin Wu Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model The Scientific World Journal |
| title | Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model |
| title_full | Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model |
| title_fullStr | Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model |
| title_full_unstemmed | Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model |
| title_short | Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model |
| title_sort | effective application of improved profit mining algorithm for the interday trading model |
| url | http://dx.doi.org/10.1155/2014/874825 |
| work_keys_str_mv | AT yulunghsieh effectiveapplicationofimprovedprofitminingalgorithmfortheinterdaytradingmodel AT donlinyang effectiveapplicationofimprovedprofitminingalgorithmfortheinterdaytradingmodel AT jungpinwu effectiveapplicationofimprovedprofitminingalgorithmfortheinterdaytradingmodel |