Knowledge discovery in a genetic database: the MINOS system

Author

Ripoche, H. ; Sallantin, J.

Author_Institution

Univ. des Sci. et Tech. du Languedoc, Montpellier, France

Volume

5

fYear

1995

fDate

3-6 Jan 1995

Firstpage

91

Abstract

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

Keywords

biology computing; genetics; indexing; knowledge acquisition; object-oriented databases; object-oriented languages; query languages; query processing; MINOS system; concept lattices; functional inference; genetic database; genetic sequence management; genetic sequences; index; knowledge discovery; knowledge extraction; object-oriented database; object-oriented query language; prediction functions; Algorithm design and analysis; Database languages; Database systems; Genetics; Humans; Knowledge management; Lattices; Machine learning; Object oriented databases; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on

Conference_Location

Wailea, HI

Print_ISBN

0-8186-6930-6

Type

conf

DOI

10.1109/HICSS.1995.375347

Filename

375347