摘要
数据挖掘技术用于在海量数据中发现有用的知识,它涉及许多领域,其中数学规划方法成为数据挖掘领域的重要工具.对《数学规划》课程教学中可以引入的分类、特征选择、聚类和回归等数据挖掘基本问题进行了讨论.
Data mining is used for discovering new knowledge from massive data involving multiple disciplines, and mathematical programming methods is becoming an important tool for data mining. Several essential problems such as classification, feature selection, clustering and regression in data mining are discussed, which can be introduced into the teachhag of mathematical programming curriculum programming.
出处
《韶关学院学报》
2005年第9期10-14,共5页
Journal of Shaoguan University
关键词
数学规划
数据挖掘
分类
特征选择
聚类
回归
教学
mathematical programming
data mining
classification
feature selection
clustering
regression
teaching