摘要
提出了一种基于时序的股票预测算法。该算法基于时序,对股票在连续时间段内发生变化的数值进行研究,并利用该算法得到的结果进行预测。结果表明,这种方法对于事物的单属性预测是具有实际意义的。
Stock prediction algorithm has been the subject of concern;this paper presents a timing-based stock prediction algorithm. The algorithm studies the mutative value of the stock at a numerical time,and forecasts the result by this algorithm. The result shows this algorithm is of practical significance on single-property prediction.
出处
《江苏技术师范学院学报》
2010年第6期5-8,共4页
Journal of Jiangsu Teachers University of Technology
关键词
数据挖掘
股票
时序关联规则
data mining
stock
temporal sequence association rule
