Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (35): 228-230.DOI: 10.3778/j.issn.1002-8331.2010.35.066

• 工程与应用 • Previous Articles     Next Articles

Research on analysis of information similarity based on implicit polynomial curves

WU Gang   

  1. Key Lab of Electronic Business,Nanjing University of Economic,Nanjing 210003,China
  • Received:2009-06-02 Revised:2009-07-24 Online:2010-12-11 Published:2010-12-11
  • Contact: WU Gang


吴 刚   

  1. 南京财经大学 电子商务重点实验室,南京 210003
  • 通讯作者: 吴 刚

Abstract: Implicit polynomial curve used to describe data set points outline has been applied widely due to their good nature.The characteristics of the general one-dimensional business data set points are studied,which is converted into two-dimensional data set points,and then implicit polynomial curve is used to fit and describe them.Moreover,similarities of these implicit polynomial curves are calculated,and then,according to which the business property is analyzed.Finally,the effectiveness of the algorithm is proved.

Key words: similarity, implicit polynomial curves, data mining

摘要: 隐式多项式曲线用来描述数据点集合轮廓具有良好的性质,并已经获得广泛的应用。研究一般商业数据的特点,将一维商业数据变换成二维商业数据,使用隐式多项式曲线对其进行拟合描述,计算这些隐式多项式曲线的相似性,进而实现对商业数据的相似性计算分析。实验结果证明了算法的有效性。

关键词: 相似性, 隐式多项式曲线, 数据挖掘

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