讨论数据清理、数据集成和变换、数据归约的方法。
Methods of data cleaning, data integration and transformation, and data reduction are discussed.
数据的预处理主要是进行数据清理、数据集成、数据转换、数据归约等操作。
The data preprocessing can define as the operations as followings: data cleaning, data integration, data conversion, data reduction.
针对中药方剂功效归纳问题，提出了一种基于人工神经网络新的高维数据归约方法。
A novel reduction method of high dimensions based on artificial neural network was proposed for the effect reduction of Chinese traditional medicine prescription.
提出了一种基于密度的孤立点因子算法和一种基于粗集理论的属性类别差异数据归约算法。
The Out-lier algorithm based on density and attribution classical discrepant data protocol algorithm based on rough set theory were presented.
在面向属性归纳(AOG)的数据挖掘中，属性归约及概念归纳都离不开概念层次。
In data mining with Attribute-Oriented generalization (AOG), attribute reduction and concept generalization can not part from concept hierarchy.
由于所有的节点分别对分割后数据进行运算，所以可减少归约处理的时间。
Since all the nodes execute operation for divided data respectively, reduction processing time can be decreased.
从数据挖掘技术的角度研究了三江并流带地区丰富的旅游地质资源数据 ，采用“数据概化”的方法对资源数据集进行“维归约”预处理 。
Using the Web data mining technology makes full use of the advantages of cyber education, like resource sharing and no time limit.
给出了数据约简方法，包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。
Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.
给出了数据约简方法，包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。
Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.
应用推荐