Conceptual modeling of statistical data

Author

Pokorný, Jaroslav

Author_Institution

Dept. of Software Eng., Charles Univ., Prague, Czech Republic

fYear

1996

fDate

9-10 Sep 1996

Firstpage

377

Lastpage

382

Abstract

A conceptual modeling of statistical objects based on a functional approach is presented. The notion of attribute as a basic modeling construct is used. The presented results show how to deal exactly some very known notions and how to extend and precise them. As a logical consequence of using the typed lambda calculus for description of semantics, some new constructs were proposed. A horizontal and vertical structuralization, horizontal and vertical statistical classification are shown as necessary and useful in modeling of statistical reality

Keywords

computational linguistics; data structures; database theory; lambda calculus; object-oriented databases; pattern classification; statistical databases; attribute; conceptual modeling; functional approach; horizontal statistical classification; horizontal structuralization; modeling construct; semantics; statistical data; statistical objects; statistical reality modelling; typed lambda calculus; vertical statistical classification; vertical structuralization; Aggregates; Calculus; Database languages; Object oriented databases; Object oriented modeling; Set theory; Software engineering; Solids;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Zurich

Print_ISBN

0-8186-7662-0

Type

conf

DOI

10.1109/DEXA.1996.558348

Filename

558348