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- Keywords Data warehoure Multi-cube OLAP Data mining; 数据仓库;多维立方体;OLAP;数据挖掘;
- Keywords data mining;sequential pattern;frequent subtree;condensed set; 数据挖掘;序列模式;频繁子树;精简集;
- Keywords Data Mining;Frequent Patterns;Frequent Closed Patterns;Frequent Subtrees;Inter-Revelant Sucessive Tree Model; 数据挖掘;频繁模式;频繁闭合模式;频繁子树;互关联后继树模型;
- Keywords data mining;Fuzzy C-Means;genetic algorithm;Particle Swarm Optimizer;chaos optimization;clustering; 数据挖掘;模糊c均值;遗传算法;粒子群算法;混沌优化;聚类;
- Keywords data mining;naive Bayesian algorithm;prognosis;primary liver cancer;data preprocess; 数据挖掘;朴素贝叶斯分析;预后;肝癌;数据预处理;
- Data mining is to extract knowledge from information. 资料开采是从各种资讯中获得知识。
- Keywords data mining;descriptive pattern;sequential pattern;association analysis;outlier detection; 数据挖掘;描述性规则;序列模式;关联分析;离群点发现;
- Keywords Data mining;KDD （Knowledge Discovery in Databases）;SJEP-based classifiers;knowledge patterns; 数据挖掘;知识发现;分类算法;知识模型;
- Keywords data mining;knowledge discovery;cluster algorithm;GEP;TCM prescription; 数据挖掘;知识发现;聚类算法;基因表达式编程;中药方剂;
- Keywords Data Mining;KDD Process Model;Text-To-Speech;Clustering Analysis;Decision Tree;Neural Network;Rough Set; 数据挖掘;处理过程模型;文语转换;聚类分析;决策树;神经网络;粗糙集;
- Keywords Data mining Experimental design Factorial design Orthogonal design Uniform design Independent design; 数据挖掘;试验设计;析因设计;正交设计;均匀设计;独立设计;
- Clustering is a major method of data mining. 摘要聚类是数据挖掘中的主要方法。
- Keywords Data Mining;Association Rule;Concept Lattice;Frequent Itemset;Attribute-Oriented Induction（ AOI）; 关键词数据挖掘;关联规则;概念格;频繁项目集;属性归纳;
- Keywords Data mining;decision tree;discretization;feature selection;chemical pattern classification; 数据挖掘;决策树;离散化;特征选择;化学模式分类;
- Understanding data mining may be important to you. 理解数据挖掘可能对你很重要。
- In its most basic form, data mining is very simple. 以其最基本的方式，数据采集就简单了。
- Data mining tools yield five types of information. 数据开采工具得到五类信息。
- An available answer is Data Mining. 可行的方法之一就是利用数据挖掘技术。
- Outlier mining is an important part of data mining. 摘要离群数据挖掘是数据挖掘的重要内容。
- CUG, Research Areas: Database and Data Mining. 研究生毕业，研究方向：数据库与数据挖掘技术。
