Finally, based on researches above, we implement the data mining system of the stock with aggregation database and object oriented technology.
最后,在以上研究的基础上,集合数据库、面向对象等技术实现了股票数据挖掘系统。
To improve the efficiency and accuracy of searching technology based on special area, the content of user query is extended according to stock ontology to be more relevant.
为了加强面向领域的搜索技术查询有效性与准确性,在证券领域本体的基础上对检索表达式进行扩展,使检索内容更加相关。
This paper presents a new method based on Attribute Theory and Bernstein Basic Function fitting after thorough study of stock investment and prediction technology.
本文在深入分析股票投资理论和股价预测方法的基础上,提出了利用属性论方法和波恩斯坦基函数拟合技术的股市预测算法。
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