1) excavator factor
挖掘系数
2) data mining system
数据挖掘系统
1.
A data mining system of loess mechanics was developed based on advanced data mining system in information technology.
本文基于信息技术中最先进的数据挖掘技术,研制了黄土力学数据挖掘系统,包括有预处理模块、挖掘操作模块、知识库管理模块,自重湿陷与湿陷性判定决策树模型、判定规则和评价模型的精度以及其他应用软件接口等。
2.
The centralized data mining system and the distributed data mining system are discussed respectively based on the development situation of data mining system at present.
结合当前数据挖掘系统发展状况,分别介绍了集中式和分布式的数据挖掘系统,并着重对集中式数据挖掘系统中的各个组成部分及其具体实现技术做了详细的介绍,同时对集中式和分布式的数据挖掘系统目前的发展状况分别做了总结。
3.
The data mining system is a kind of information system,which integrates some calculation module of data mining in a software platform,and combines some kind of data source,to complete the special mining mission,and to get some modes,rules and knowledge for the users.
数据挖掘系统是通过在一个软件平台上有效地集成一种或若干种数据挖掘算法模型,并结合相应的数据源,以完成特定的挖掘应用或通用的挖掘任务,提取对用户有用的模式、规则、知识的信息系统。
3) relational data mining
关系数据挖掘
1.
The authors, from the view of relational data mining (RDM), propose a new method to excavate peculiar rules, which recognizes the peculiar data based on attribute-oriented method, and uses Chiz algorithm for reference to discretize the peculiar data and qualitatively describe the peculiar degree of the data.
从关系数据挖掘的角度提出了挖掘特异规则的方法,该方法通过面向属性的方法来识别特异数据。
4) multi-relational data mining
多关系数据挖掘
1.
The Research of Multi-Relational Data Mining Technology and Its Realization in Tax Assessment;
多关系数据挖掘技术研究及在纳税评估中的实现
2.
Multi-relational data mining can be categorized into graph-based and logic-based according to their representation.
多关系数据挖掘根据表示形式可以分为基于图的MRDM和基于逻辑的MRDM。
3.
Multi-relational data mining is one of rapidly developing subfields of data mining.
多关系数据挖掘是当前数据挖掘研究中快速发展的重要领域之一。
6) mining relationship of data
挖掘数据关系
补充资料：挖掘
①挖：挖掘沟渠｜挖掘涵洞。②比喻把蕴藏着的力量或积极性等发挥出来：挖掘潜力。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条