By Topic

Knowledge discovery in a genetic database: the MINOS system

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)
Ripoche, H. ; Univ. des Sci. et Tech. du Languedoc, Montpellier, France ; Sallantin, J.

This paper concerns the management of genetic sequences in an object-oriented database and the extraction of knowledge from these sequences. In our case knowledge discovery consists in finding functions capable of predicting properties about genetic sequences. This problem is also known as functional inference. The paper is divided in two parts: the first one shows the interest of using an object-oriented query language to build and use prediction functions. In the second part, we propose to use prediction functions as descriptors of sequences in order to index them. The indexation is performed with concept lattices

Published in:

System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on  (Volume:5 )

Date of Conference:

3-6 Jan 1995