杨静, 李文平, 张健沛. 一种基于SPA的多数据流同异反分析法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(1): 92-97.
引用本文: 杨静, 李文平, 张健沛. 一种基于SPA的多数据流同异反分析法[J]. 武汉大学学报 ( 信息科学版), 2011, 36(1): 92-97.
YANG Jing, LI Wenping, ZHANG Jianpei. A Data Mining Approach Based on Identical-Different-Contrary Analysis[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 92-97.
Citation: YANG Jing, LI Wenping, ZHANG Jianpei. A Data Mining Approach Based on Identical-Different-Contrary Analysis[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 92-97.

一种基于SPA的多数据流同异反分析法

A Data Mining Approach Based on Identical-Different-Contrary Analysis

  • 摘要: 提出了一种分析多数据流变化趋势的新方法。该方法引入集对分析思想,使用峰值数据进行分析,计算简单、数据量小。实验表明,峰值的变化趋势较能真实地反映数据流的变化趋势;同时,本方法对解决样本点个数不一致的问题是有效的。

     

    Abstract: A new approach,which introduces set pair analysis(SPA) theory,is proposed to analyse the trends of multiple data streams by using the peak data in this paper.The approach simplifies the computation and reduces data volumns.We define two windows,namely: basic window,and observed window.The identical-different—contrary relationship is determined in the former and the set pair trends is counted in the latter,and the strong similar set pair trends pairs are picked out finally.The judgment on the identical-different-contrary relationship and the calculation of the set pair trends are both simple.Moreover,the adoption of the peak data reduces the amount of data greatly,thus the processing time of the data streams is shortened naturally.Experiments have shown that the trends of the peak data can mirror the trends of the data stream vividly.At the same time,the method,employed to solve inconsistency of sample points,is effective.

     

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