By Topic

Extracting symbolic objects from relational databases

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

1 Author(s)
V. Stephan ; Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France

Our aim is to define operators to retrieve groups of individuals from a relational database. The way we describe these groups makes it possible to analyse them by symbolic data analysis methods which extend classical ones to more complex data. In so far as the input consists of groups of data extensionally defined in the database, our problem is to find the best description representing each group in the formalism (called symbolic object) of symbolic data analysis. In our process, we take into account data from tables together with additional knowledge such as taxonomies. To describe each group, we perform a generalization step and a specialization one. Final descriptions are based on the notion of homogeneity within a group and they minimize a volume criterion

Published in:

Database and Expert Systems Applications, 1996. Proceedings., Seventh International Workshop on

Date of Conference:

9-10 Sep 1996