Data Mining 简明教程

Discuss Data Mining

数据挖掘被定义为从海量数据集提取信息的程序。换句话说，我们可以说数据挖掘是从数据中提取知识。本教程从数据挖掘涉及的基础概述和术语开始，然后逐渐涵盖知识发现、查询语言、分类和预测、决策树归纳、聚类分析以及如何挖掘 Web 等主题。

Data Mining is defined as the procedure of extracting information from huge sets of data. In other words, we can say that data mining is mining knowledge from data. The tutorial starts off with a basic overview and the terminologies involved in data mining and then gradually moves on to cover topics such as knowledge discovery, query language, classification and prediction, decision tree induction, cluster analysis, and how to mine the Web.