摘要
序列相似性模式搜索是营销数据仓库中知识发现领域的一个研究热点。本文利用小波工具提出了一个基于Hurst指数的序列相似性判别标准和算法,新方法在某一分辨率层次上进行曲线形状的相似性搜索和度量,从而可以提高营销相似性模式查询的效率。最后用算例对方法的有效性加以验证。
The similarity pattern query about time series is one of the research hotspots in knowledge discovering in the marketing database.Based on varying-time index,new discrimination standard and algorithm of series similarity are introduced.The similarity of curve in basic figure is queried and measured at some resolution ratio level,in the meantime,the fractal dimension in local similarity is matched.The effectiveness of the method is validated by means of the simulation example in the end.
出处
《中国管理科学》
CSSCI
2008年第S1期33-36,共4页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(70572102)
关键词
营销模式相似性
小波分析
数据挖掘
marketing model similarity
wavelet analysis
fractal dimension
data mining
