By Topic

Knowledge discovery and constraint-based processing in automated manufacturing

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)
Jiawei Han ; Sch. of Comput. Sci., Simon Fraser Univ., Burnaby, BC, Canada ; Fu, A.W.

This paper studies the application of integrated database and artificial intelligence technologies in automated manufacturing. Two interesting techniques: (1) knowledge discovery, i.e., discovery of interesting rules and regularities from data or processing history, and (2) constraint-based processing, i.e., the application of the knowledge and rules as constraints in the guidance or control of a manufacturing process, are examined in detail. The study shows that the proposed technique may extract interesting knowledge from data, guide manufacturing processes and enhance system performance. Therefore, it may have important implications to computer-integrated manufacturing systems

Published in:

Control Applications, 1993., Second IEEE Conference on

Date of Conference:

13-16 Sep 1993