Web page classification based on a simplified swarm optimization

作者：

Highlights：

• This paper addresses a web page classification problem.

• The major contribution is to propose an SSO approach to solve this problem.

• We use the Taguchi method to determine the parameter settings of the SSO.

• SSO yields better performance than other three approaches in the experiments.

摘要

•This paper addresses a web page classification problem.•The major contribution is to propose an SSO approach to solve this problem.•We use the Taguchi method to determine the parameter settings of the SSO.•SSO yields better performance than other three approaches in the experiments.

论文关键词：Web page classification,Simplified swarm optimization,Taguchi method

论文评审过程：Received 30 June 2013, Revised 10 July 2015, Accepted 30 July 2015, Available online 22 August 2015, Version of Record 22 August 2015.

论文官网地址：https://doi.org/10.1016/j.amc.2015.07.120