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

On-line legal aid: Markov chain model for efficient retrieval of legal documents

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 $31
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

4 Author(s)
Ghosh-Roy, R. ; Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK ; Habiballah, I.O. ; Stonham, T.J. ; Irving, M.R.

It is widely accepted that, with large databases, the key to good performance is effective data-clustering. In any large document database clustering is essential for efficient search, browse and therefore retrieval. Cluster analysis allows the identification of groups, or clusters, of similar objects in multi-dimensional space. Conventional document retrieval systems involve the matching of a query against individual documents, whereas a clustered search compares a query with clusters of documents, thereby achieving efficient retrieval. In most document databases periodic updating of clusters is required due to the dynamic nature of a database. Experimental evidence, however shows that clustered searches are substantially less effective than conventional searches of corresponding non-clustered documents. We investigate the present clustering criteria and its drawbacks. We propose a new approach to clustering and justify the reasons why this new approach should be tested and (if proved beneficial) adopted

Published in:

Document Image Processing and Multimedia Environments, IEE Colloquium on

Date of Conference:

2 Nov 1995

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.