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The Data Scales in Multi-valued Context Based on Formal Concept Analysis

机译:基于正式概念分析的多值上下文中的数据缩放

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摘要

Formal Concept Analysis has very important meaning in mathematical methods for data mining and knowledge processing. In the face of the variety of the data structure, traditional methods can hardly meet decider's need. This paper summarizes a few of data structure for the concept analysis and present the data scale methods for each other based on their own characters. It not only extends the application of the concept analysis, but also makes the data scale methods more efficiently.
机译:正式的概念分析在数据挖掘和知识处理的数学方法中具有非常重要的意义。面对数据结构的各种,传统方法几乎可以满足决策者的需求。本文总结了概念分析的一些数据结构,并根据自己的字符呈现彼此的数据刻度方法。它不仅扩展了概念分析的应用,还可以更有效地使数据刻度方法更有效。

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