By Topic

Semantics oriented association rules

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
$33 $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)
E. Louie ; IBM, Almaden Res. Center, San Jose, CA, USA ; T. Y. Lin

It is well known that relational theory carries very little semantic. To mine deeper semantics, additional modeling is necessary. In fact, some "pure" association rules are found to exist even in randomly generated data. We consider a relational database in which every attribute value has some additional information, such as price, fuzzy degree, neighborhood, or security compartment and levels. Two types of additions are considered: one is structure added, the other is valued-added. Somewhat a surprise, the additional cost in semantics checking is found to be very well compensated by the pruning of non-semantic rules

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:2 )

Date of Conference: