改进的SPRINT算法在毕业设计过程管理系统中的应用

Yan-Wen Wu, Li Li, Sheng-Yi Zhao, Xue-Yi Ai
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引用次数: 2

摘要

对于大数据集,当数值属性比较多时,效率较低。本文将基于“纯区间”的SPRINT算法应用于毕业设计流程管理系统中,该算法首先排除“纯区间”中的候选分割点,然后计算剩余的基尼指数,最后与基尼指数进行比较,得到最佳分割点。减少了候选分配器点的数量,提高了算法的运行效率,并在实验中得到了验证;该算法的结果是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Improved SPRINT Algorithm in the Graduation Design Process Management System
Regarding big data set, the efficiency is low when the numeric-attributes with a lot of values. This article which applied SPRINT algorithm bases on "the pure intervals" in the graduation design process management system .The algorithm excludes the candidate splitter points in "the pure intervals" at first, then computes gini indexes remained, finally compares with the gini indexes to obtain the best splitter point. It reduced the number of candidate splitter points, enhanced the operating efficiency of the algorithm .And have already obtained the confirmation in the experiment; the results of this algorithm are effective.
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