1.
Data mining,also known as knowledge discovery in databases.
数据采掘,也称数据库中的知识发现。
2.
Mining association rules is an important topic in the data mining research.
关联规则采掘是数据采掘中重要的研究课题。
3.
data mining
数据开发,数据采集,数据采掘,[台]资料探勘,[港]数据开拓
4.
Association Rule Mining is an important branch of data mining, and becomes one of the widest applied data mining styles.
关联规则采掘是数据采掘中的一个重要分支，也是目前应用最广泛的一种数据采掘类型。
5.
Technology,Topics in Great Demand,Problems and Trend of Data Mining
数据采掘的技术、热点、问题及动向
6.
Bayesian Networks Construction and Their Applications in Data Mining
贝叶斯学习、贝叶斯网络与数据采掘
7.
In this paper, we briefly survey the rclated work in data mining, including its basic ideas , its tasks, its demands.
简要综述数据采掘的基本概念，任务。
8.
Large Data Warehouse based Data Mining: a Survey
基于大型数据仓库的数据采掘:研究综述
9.
Mining the association rules is an important aspect of the study of data mining.
关联规则的采掘是数据采掘研究的一个重要方面 .
10.
Study and Its Application for Fuzzy Neural Network in Data Mining
模糊神经网络在数据采掘中的应用研究
11.
Study of Temporal Type and Time Granularity in the Temporal Data Mining
时态数据采掘中的时态型与时间粒度研究
12.
A DATA MINING METHOD TO ACQUIRE PART OF SPEECH RULES IN CHINESE TEXT
用数据采掘方法获取汉语词性标注规则
13.
1. Studied algorithm of Association rule in Data Mining.
1．研究了数据采掘技术中的关联规则算法。
14.
Construction and applications in data mining of bayesian networks
贝叶斯网络的建造及其在数据采掘中的应用
15.
GENOMIC DATA MINING BASED ON SYMBOLIC EVOLUTIONARY DYNAMICS
基于符号化进化动力学的基因组数据采掘
16.
BASIC METHODS ON DATA MINING AND DIFFERENCE BETWEEN DATA MINING AND EXPERT SYSTEM
数据采掘的基本方法及其与专家系统的差异
17.
Redundant adribute in data set will lead to low precision and low interpreting ability of data mining.
数据集中的冗余属性会降低数据采掘结果的解释能力及精度。
18.
1-Wire Bus Multi-drop Data Acquisition System and the Technology of Data Mining
单总线多点数据采集系统及数据挖掘技术