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

A Case Retrieval Algorithm Based on Bayesian Estimation

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

3 Author(s)
Xiao Yihong ; Sch. of Manage. & Eng., Nanjing Univ., Nanjing, China ; Zhou Xianzhong ; Wu Kui

Implementing knowledge engineering in DSS has brought a problem of inefficient reasoning due to huge searching space. The use of case-based reasoning technique has ameliorated the situation. The validity of case retrieval directly influences the effect of case-based reasoning, and the key is to measure the similarity between cases. In this paper, an algorithm for cases similarity computation based on Bayesian Estimation is proposed. First, we designate the priori distribution parameters by the semantic distance-based similarity algorithm, and then calculate the posteriori encountering probability using Bayesian Estimation, thereby, the cases semantic similarity integrating the subjective experience with the objective statistic is acquired. This approach can effectively improve the success rate of case retrieval in the situation of incomplete sample information.

Published in:

Management and Service Science (MASS), 2010 International Conference on

Date of Conference:

24-26 Aug. 2010

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.