Cart (Loading....) | Create Account
Close category search window
 

An Efficient Web Query Optimization Algorithm Based on LDA and MA

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ziqiang Wang ; Sch. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou ; Xia Sun

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.

Published in:

MultiMedia and Information Technology, 2008. MMIT '08. International Conference on

Date of Conference:

30-31 Dec. 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.