Grey Data Mining 灰色数据挖掘
This article introduces grey theory into logistics trade, and builds data mining model based on grey theory to solve the practical problem in logistics enterprises' management and decision.
本文提出灰色系统的理论与方法在物流行业的应用,针对物流企业管理决策的实际问题建立基于灰色系统理论的数据挖掘模型。
Absrtact: Rough sets and grey theory have advantages in the field of data mining, but their ultimate goal is to discover knowledge.
摘要:粗糙集和灰色理论在数据挖掘领域各有优点,它们最终目标都是为了发现知识。
For more effective meteorological data mining, this thesis introduces the quotient space granular computing theory, grey model, structural machine learning algorithm and so on.
为了更加有效地进行瓦斯数据挖掘,本文引入了商空间粒度计算理论、灰色模型、覆盖算法等。
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