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关于时序模式发现算法的研究 被引量:2

Research and Analysis on an Algorithm for Time-series Patterns Discovery
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摘要 数据挖掘归属于决策系统,可以从浩瀚的数据库中挖掘出不易被发现的有用信息,并且可以进行预测,为管理层中决策者的决策提供科学依据。针对时序数据中的复杂模式问题,提出了一种时序模式算法,并描绘了算法的基本思想及给出了算法的简单伪代码。在用程序实现后,对算法的优劣进行了分析,为进一步改进和完善算法或者为寻找更为理想的算法提供了有益的启示。 Data mining is part of decision-making system.It can find some useful information that isn't easily found in a great database,and can forecast.Scientific ground of decision-making is provided for decision-maker.In the paper,being directed to the complex model of time-series pattern,drawing idea and giving pseudo code of the algorithm of finding time-series patterns has been presented.At the meantime,we analyze advantages and disadvantages of the algorithm,after a program of the algorithm was finished.It will improve algorithm and find out ideal algorithm.
作者 张瑜 彭玉青
出处 《河北科技大学学报》 CAS 2004年第2期27-29,共3页 Journal of Hebei University of Science and Technology
基金 河北省自然科学基金资助项目(601055)
关键词 发现算法 时序模式 程序实现 伪代码 数据挖掘 时序数据 数据库 管理层 决策者 启示 data mining time-series data,time-series patterns classification accuracy
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