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时序波动关联规则概念格并行挖掘的一个新算法
引用本文:吴大岳,谢福鼎,孙岩,张永.时序波动关联规则概念格并行挖掘的一个新算法[J].计算机科学,2008,35(10):158-161.
作者姓名:吴大岳  谢福鼎  孙岩  张永
作者单位:辽宁师范大学计算机信息与技术学院,大连,116029;辽宁师范大学计算机信息与技术学院,大连,116029;辽宁师范大学计算机信息与技术学院,大连,116029;辽宁师范大学计算机信息与技术学院,大连,116029
基金项目:国家重点基础研究发展计划(973计划),国家自然科学基金
摘    要:基于概念格理论,研究了对时间序列的波动情况进行周期关联规则的挖掘.首先对时间序列进行了反季节化预处理,然后提出了生成周期关联规则的新并行算法,在算法内部对生成的概念进行了剪枝处理,有效地提高了挖掘速度.随后用所给出的高精度模型对不满足移动平均法反季节化预处理条件的时间序列进行了反季节化计算.实验证明了该方法的有效性.

关 键 词:概念格  时间序列  预测模型  周期关联规则

New Algorithm for Association Rule Mining in Trend Fluctuation Based on Concept Lattice
WU Da-yue XIE Fu-ding SUN Yan ZHANG Yong.New Algorithm for Association Rule Mining in Trend Fluctuation Based on Concept Lattice[J].Computer Science,2008,35(10):158-161.
Authors:WU Da-yue XIE Fu-ding SUN Yan ZHANG Yong
Abstract:This paper presented a method of cycle association rules mining for time-series fluctuations based on the concept lattice theory.The time-series were first deseasonalized and then a new parallel algorithm of cycle association rules mining was proposed.To increase the mining speed efficiently,some concepts obtained in the algorithm were pruned.Afterward,deseasonalizeation of time-series which do not satisfy the pretreatment conditions of deseasonalizeation in moving average method was computed by a high accu...
Keywords:Concept lattice  Time-series  Prediction model  Cycle association rules  
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