Using the algorithm, system can collect customers' attributes data and eliminate redundant data attributes from emporium marketing database by pretreatment, data reduction and other steps.
利用该算法，通过预处理、数据约减等步骤从商场营销数据库中收集顾客属性数据，消去多余数据属性。
This algorithm can resolve the interference among attributes with different data types, and decrease the size of BP neural network, and realize the parallel computation of attributes matching.
该算法能有效地消除不一致信息的干扰，降低神经网络的规模，并且可以实现不同数据类型的属性集之间属性匹配过程的并行计算。
The algorithm of ID3 usually leans to select attributes which value much more, and can't handle continuous data, and is sensitivity to the noise.
ID 3算法往往偏向于取值较多的属性，不能处理连续数据，对噪声也较为敏感。
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