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

Adaptive Multi-levels Dictionaries and Singular Value Decomposition Techniques for Autonomic Problem Determination

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)
Hoi Chan ; IBM Thomas J. Watson Res. Center, Hawthorne ; Kwok, T.

An autonomic problem determination system can adapt to changing environments, react to existing or new error condition and predict possible problems. In this report, we propose such a system using dynamic and adaptive multi-levels dictionaries and "singular value decomposition techniques" (SVD). Compared to standard SVD, our system uses an iterative method that enables dynamic interaction between events and the current dictionaries with its entries being updated continuously to reflect relative importance of each event, thereby accelerating its convergence. The system captures knowledge in a hierarchical form for complex knowledge representation. It does not require a formal knowledge model or intensive training by examples. It is efficient with sufficient accuracy for autonomic problem determination.

Published in:

Autonomic Computing, 2007. ICAC '07. Fourth International Conference on

Date of Conference:

11-15 June 2007

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.