Rough Set Methods for Large and Spare Data in EAV Format

Wojciech Swieboda, H. Nguyen
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引用次数: 16

Abstract

In this article we discuss a computationally effective method for computing approximate decision reducts of large data sets. We consider the EAV (entity-attribute-value) which efficiently stores sparse data sets and we propose new implementations of Maximum Discernibility heuristic for data sets represented in this format.
EAV格式大数据和备用数据的粗糙集方法
本文讨论了一种计算大数据集近似决策约简的有效方法。我们考虑了有效存储稀疏数据集的EAV(实体-属性-值),并对以这种格式表示的数据集提出了最大可分辨性启发式的新实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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