An Efficient Web Query Optimization Algorithm Based on LDA and MA

被引:3
作者
Wang, Ziqiang [1 ]
Sun, Xia [1 ]
机构
[1] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou 450000, Peoples R China
来源
2008 INTERNATIONAL CONFERENCE ON MULTIMEDIA AND INFORMATION TECHNOLOGY, PROCEEDINGS | 2008年
关键词
document query; memetic algorithm(MA); linear discriminant analysis(LDA);
D O I
10.1109/MMIT.2008.62
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the explosive growth in the Web documents, retrieving document from the large-scale document database has become one of the most active research fields in data mining communities. Thus, developing an efficient document query optimization algorithm to retrieval Web document is of great importance. An efficient document query optimization algorithm based on linear discriminant analysis(LDA) and memetic algorithm(MA) is proposed in this paper. The experimental results demonstrate that the proposed algorithm achieves much better performance than other conventional document query optimization algorithms.
引用
收藏
页码:50 / 53
页数:4
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