Using LPP and SFL for Document Query Optimization

摘要：

To efficiently cope with document query optimization problem, an efficient document query optimization algorithm based on locality preserving projection(LPP) and shuffled frog leaping(SFL) algorithm is presented in this paper. The document discriminant features are first extracted by the LPP algorithm, then the SFL algorithm is used to retrieval relevant documents based on the extracted features. Extensive experimental results show that the proposed algorithm achieves much better performance than other conventional document query optimization algorithms.

关键词： Query optimization Locality preserving projection(LPP) Shuffled frog leaping(SFL) algorithm

作者: Ziqiang Wang Qingzhou Zhang Xia Sun

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

会议类型: 国际会议

会议名称: 2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)

会议地点: 广西桂林

会议语种:英文

页码: 5564-5567

在线出版日期: 2009-06-17（万方平台首次上网日期，不代表论文的发表时间）