Temporal generalization with domain generalization graphs

Citation
Dj. Randall et al., Temporal generalization with domain generalization graphs, INT J PATT, 13(2), 1999, pp. 195-217
Citations number
24
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
ISSN journal
02180014 → ACNP
Volume
13
Issue
2
Year of publication
1999
Pages
195 - 217
Database
ISI
SICI code
0218-0014(199903)13:2<195:TGWDGG>2.0.ZU;2-Y
Abstract
This paper addresses the problem of using domain generalization graphs to g eneralize temporal data extracted from relational databases. A domain gener alization graph associated with an attribute defines a partial order which represents a set of generalization relations for the attribute. We propose formal specifications for domain generalization graphs associated with cale ndar (date and time) attributes. These graphs are reusable (i.e. can be use d to generalize any calendar attributes), adaptable (i.e. can be extended o r restricted as appropriate for particular applications), and transportable (i.e. can be used with any database containing a calendar attribute).