Finally,the validity of the algorithms is demonstrated by several classical databases in the UCI repository. The results show that,in some situations,the proposed heuristic algorithm of attribute reduction can boost reduction quality of data to some extent.
基于改进的属性重要度定义(标准),构造了两种启发式属性约简算法,并利用UC I数据库中的一些典型算例验证了算法的有效性;说明在某些情况下,提出的属性约简算法在一定程度上能够提高数据的约简质量。
参考来源 - 信息系统的一种启发式属性约简算法·2,447,543篇论文数据，部分数据来源于NoteExpress
提出约简质量的定义，从属性约简率和近似质量两方面来衡量约简效果。
The attribute reduction quality, which includes reduction ratio and approximate quality, is defined to scale the reduction effectiveness.
算法具有多边形约简算法相同的优良的近似质量，并可在固定数据缓冲区空间内在线运算。
The quality of approximation is as good as polygonal boundary reduction, and it can process the data online in a constant buffer.
本文从分类质量和等价类这两个层次上各提出了一个属性约简算法。
This article proposes two attribute reduction algorithms from the classification quality level and equivalent level.
应用推荐