Attribute group for attribute reductionAcceleration strategyAttribute groupAttribute reductionRough setIn the field of rough set, how to improve the efficiency of obtaining reduct has been paid much attention to
Attribute group for attribute reduction 2020, Information Sciences Show abstract Quickly calculating reduct: An attribute relationship based approach 2020, Knowledge-Based Systems Citation Excerpt : Single granularity attribute reduction indicates that one and only one granularity is used to construct the con...
Attribute reduction is an important issue in rough set theory. However, the rough set theory-based attribute reduction algorithms need to be improved to de
机器学习课程-第8周-降维(Dimensionality Reduction)—主成分分析(PCA) 1. 动机一:数据压缩 第二种类型的 无监督学习问题,称为 降维。有几个不同的的原因使你可能想要做降维。一是数据压缩,数据压缩不仅允许我们压缩数据,因而使用较少的计算机内存或磁盘空间,但它也让我们加快我们的学习算法。 但首先,让我们谈论...
【机器学习】粗糙集属性约简—Attribute Reduction 介绍 RoughSets算法是一种比较新颖的算法,粗糙集理论对于数据的挖掘方面提供了一个新的概念和研究方法。本篇文章我不会去介绍令人厌烦的学术概念,就是简单的聊聊RoughSets算法的作用,直观上做一个了解。此算法的应用场景是,面对一个庞大的数据库系统,如何从里面分析出...
网络属性约简;属性归约;字段精简 网络释义 1. 属性约简 万方数... ... 支持向量机 特征提取 feature extraction 遗传算法属性约简attribute reduction粗糙集 support vector machine ... subject.wanfangdata.com.cn|基于8个网页 2. 属性归约 词性归属,de... ... ) classification of word class 词类归属 )...
This paper studies the definitions of attribute reduction in the decision-theoretic rough set model, which focuses on the probabilistic re- gions that induce different types of decision rules and support different types of decision making successively. We consider two groups of studies on attribute re...
摘要 It is well-known that attribute reduction is a crucial action of rough set.The significant characteristic of a...展开更多 作者 Tianshun Xing Jianjun Chen Taihua Xu Yan Fan 机构地区 School of Computer 出处 《Intelligent Automation & Soft Computing》 SCIE 2023年第7期561-581,共21页 智能...
In terms of novelty, object-specific reducts are proposed by dependency-driven object consistency; they and the two existing reduct types hierarchically constitute tri-level attribute reducts for intelligence processing and system reasoning. Show abstract Attribute group for attribute reduction 2020, ...
Attribute reduction is one of the most important applications of rough set theory. It is a major step for data preprocessing, with wide application to decision analysis and machine learning. When a classification problem is defined by attributes, the number of attributes can be large, and many ...