计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (5): 12-14.

• 博士论坛 • 上一篇    下一篇

基于支持向量机回归模型的海量数据预测

郭水霞 王一夫 陈安   

  1. 湖南师范大学数学与计算机科学学院 华南理工大学自动化科学与工程学院
  • 收稿日期:2006-09-04 修回日期:1900-01-01 出版日期:2007-02-11 发布日期:2007-02-11
  • 通讯作者: 王一夫

Prediction on Huge Database on the Regression Model of Support Vector Machine

YiFu & strXing & ShuiXia Guo An Chen   

  • Received:2006-09-04 Revised:1900-01-01 Online:2007-02-11 Published:2007-02-11
  • Contact: YiFu & strXing &

摘要: 预测是很多行业都需要的一项方法和技术,随着数据积累的越来越多,基于海量数据的预测越来越重要,我们在介绍支持向量机基本原理和实现算法的基础上,给出了航空服务成本预测模型,最后对预测结果的评价和选取情况进行了分析。

关键词: 预测, 数据挖掘, 支持向量机, 回归模型

Abstract: As an important method and technique, prediction has been widely applied in many areas. With the increasing amount of data, prediction from huge database becomes more and more important. Based on the basic principle of vector machine and implement arithmetic, a prediction system infrastructure on an air company is proposed in this paper. Lastly, the rules of evaluation and selection of the prediction models are discussed.

Key words: prediction, data mining, support vector machine, regression model