A MA-Based Web Document Classification Algorithm

摘要：

The amount of online document has grown greatly in recent years due to the increase in popularity of the Worm Wide Web. Thus, developing an efficient document classification method to automatically manipulate Web document is of great importance. A novel memetic algorithm(MA)-based document classification algorithm is presented in this paper. The experimental results show that the proposed algorithm achieves much better performance than other related classification algorithms.

作者: Xia Sun Ziqiang Wang Dexian Zhang

作者单位: School of Information Science and Engineering,Henan University of Technology,Zhengzhou,450001,P.R.China

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 952-955

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）