What is it about?
In financial markets, an investor looks for a high-profit and low-risk trading with a better rate of winning. Data mining of association rules can be used to provide useful rules. 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. Many examples are used to show how to mine profit rules and obtain good trading results.
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Why is it important?
The traditional data mining approach of using minimum confidence and support thresholds needs to be changed to solve the problem. We go into details of our improved profit-mining algorithm and showcase effective applications with experiments using real world trading data.
Perspectives
This research shows that our approach is practical and effective with good results on scalability and stable performance for various datasets.
Professor Don-Lin Yang
Feng Chia University
Read the Original
This page is a summary of: Effective Application of Improved Profit-Mining Algorithm for the Interday Trading Model, The Scientific World JOURNAL, January 2014, Hindawi Publishing Corporation,
DOI: 10.1155/2014/874825.
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