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

Data mining: a tightly-coupled implementation on a parallel database server

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)
Sousa, M. ; COPPE, Fed. Univ. of Rio de Janeiro, Brazil ; Mattoso, M. ; Ebrecken, N.F.F.

Due to the increasingly difficulty of discovering patterns in real-world databases using only conventional OLAP tools, an automated process such as data mining is currently essential. As data mining over large data sets can take a prohibitive amount of time related to the computational complexity of the algorithms, parallel processing has often been used as a solution. However, when data does not fit in memory, some solutions do not apply and a database system may be required rather than flat files. Most implementations use a database system loosely-coupled with the data mining algorithms. We address the data consuming activities through parallel processing and data fragmentation on the database server, providing a tight integration with data mining techniques. Experimental results show that the potential benefits of this integration were obtained, despite the difficulties of processing a complex application

Published in:

Database and Expert Systems Applications, 1998. Proceedings. Ninth International Workshop on

Date of Conference:

25-28 Aug 1998

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.