摘要
首先介绍了数据挖掘的基本概念,然后系统地研究了支撑向量机学习算法,着重分析了支撑向量机的算法的特点。并阐述了支撑向量机的关键技术—核函数。最后讨论了支撑向量机学习算法在数据挖掘中的应用。
The article first introduces the basic concept of data mining. Then it discusses Support Vector Machine algorithm, specially analyses the characteristic. Using the kernel function is Support Vector Machine successful key technology of algorithm. Finally, it discusses the application of Support Vector Machine algorithm in data mining.
出处
《计算机与数字工程》
2005年第11期156-158,共3页
Computer & Digital Engineering
关键词
模式识别
数据挖掘
支撑向量机
pattern recognition, data mining, support vector machine