上一頁 | 標題： | Wang, H., and A.S. Weigend (2004) “Data mining for financial decision making”, Decision Support Systems, Vol.37, pp.457–460. |
| 出版日期： | 2014/01/31 |
| 摘要： |
Data mining integrates concepts from modern statistics, intelligent information systems, machine learning, pattern recognition, decision theory, data engineering, and database management. It provides powerful tools that can reveal complex and hidden relationships in large amounts of data. Data mining already has a major impact on business and finance. Financial markets generate large volumes of data. Analyzing these data to reveal valuable information and making use of the information in decision making present great opportunities and grand challenges for data mining. The rewards for finding valuable patterns are potentially huge, but so are the difficulties. Important problems range from questions on discovering trends at their early stages to turning insights into actions. |
| 相關連結： | http://www.sciencedirect.com/science/article/pii/S0167923603000903 |
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